analyze emits a compression-spectrum report:
compression_depth_histogram surface vs depth=1, 2, ...
distillers per-process compression ratio mean/min/max
documents_by_source_kind source/kind crosstab
chunks_by_tier hot/warm/cold distribution
audit_chain event count + integrity (breaks must be 0)
gravity_top_inbound the 'gravity wells' of the forest
Default LLM endpoint moves from uncloseai.com (marketing site, no /v1)
to hermes.ai.unturf.com/v1 — the actual reachable Hermes-3 inference
endpoint serving adamo1139/Hermes-3-Llama-3.1-8B-FP8-Dynamic on vLLM
with an 82K context window. uncloseai.com still works as a brand
override via ABORIST_LLM_ENDPOINT.
The 2003-05-16 archive ships three files:
20030516_cur_tablesql.bz2 82 MB current snapshot (single revision/page)
old_tablesqlbz2.1 640 MiB \
old_tablesqlbz2.2 252 MiB / split halves of old (full revision
history). Concatenate before bzcat.
Generalize the parser:
WikipediaSqlDump(table='cur'|'old') — shared statement parser, single
column-position contract for the
first 4 fields (id/ns/title/text)
WikipediaCurDump — back-compat wrapper, table='cur'
WikipediaOldDump — new, table='old'; old has no is_redirect, every
revision is real
Old rows surface old_id and old_timestamp via Document.extra so a
downstream pass can sort revisions chronologically before re-ingesting
through the supersedes-edge path.
Makefile gains:
fetch-cur / fetch-old / fetch (both)
ingest-cur / ingest-old / ingest (cur default)
WP_OLD target concatenates the two split parts
CLI ingest --source now accepts wikipedia_cur or wikipedia_old.
Smoke (real dump): 5 revisions of "AtlasShrugged/Companies" yielded
correctly with old_id=2..10, timestamps from January 2002.
aborist/qa/ implements the cache-first answer flow from the providence
whitepaper, scaled up to v9.8's full 8-dim admissibility invariant.
cache_key = SHA-256 of:
source_root | question_hash | model_profile_hash | conversation_hash
| governance_policy_hash | schema_version | canonicalization_version
| chunking_version
Any drift in any dimension yields a distinct cache_key — prior records
cannot serve. Falsification states (failed/stale/quarantined) gate
every cache hit.
- qa/keys.py — pure hash functions, deterministic & testable
- qa/client.py — ChatClient Protocol + StubClient + OpenAI-compatible
HTTP client (vllm/llama.cpp/uncloseai compatible)
- qa/runner.py — ask(): lookup -> hit (no LLM call, hit_count++)
OR miss (call client, write record, audit event,
proof binds answer to source root)
- cli.py — `aborist ask` and `aborist providence` subcommands
- pyproject.toml — httpx promoted from extras to core (used by both
html and qa); selectolax stays in [html] extras
Smoke (StubClient, no network): cache miss writes record with chunk_0
Merkle proof reconstructing source_root; cache hit returns same record
without calling client; 1085 audit events chained 0 breaks across
ingest/derive/evict/rehydrate/providence_write.
When a re-ingest produces a different document_root for an already-seen
URI, both versions now coexist in the store. A 'supersedes' edge from
the new doc to the prior one keeps the lineage addressable, and the
ingest audit body records the supersedes link.
Idempotent re-ingest is unchanged: identical bytes -> identical root ->
no new doc, no supersedes edge.
Three-version chains test that v3->v2 and v2->v1 edges form a walkable
history. The old version stays queryable (its chunks may later be
evicted to cold for storage savings while remaining provable).
Pure-Python (stdlib only). Uses chunk-level corpus baseline so terms
concentrated in fewer chunks outrank common ones. Default top-K = 16.
Output cores are comma-separated keyword lists — extreme compression
toward the tweet/haiku end of the planet metaphor. Same source can
now carry both a first-sentence-v1 core AND a tfidf-keywords-v1 core,
each derived independently and Merkle-signed back to the same surface.
The 'contributing_chunk_indices' for TF-IDF is every chunk that
contains at least one of the top-K keywords — proof binding remains
honest and cryptographically tight.
Distillers now scan kind='surface' OR kind='core'. Cores generate
deeper cores with compression_depth incremented. Each round of
recursion tightens the planet toward its center.
Audit body for derive events now records src_kind and the resulting
compression_depth so the chain reflects the layer transition.
Smoke against the existing 503 surface + 478 depth=1 core corpus
produced N deeper cores with proofs still binding back to their
depth=1 sources.
