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Paper Citation Record · LEDGER

Towards Tracing Factual Knowledge in Language Models Back to the Training Data

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2205.11482.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2205.11482 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:31:49.566809Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-11T19:26:10.406345Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 0881a6a2-38ed-41fb-bc7f-85e9c7b23cc1 · inbound

Better Training Data Attribution via Better Inverse Hessian-Vector Products cites this paper.

Better Training Data Attribution via Better Inverse Hessian-Vector Products Towards Tracing Factual Knowledge in Language Models Back to the Training Data

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-06T15:54:42.384563Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:54:42.384563Z digest=sha256:162b0dc2de12490122cb450c91e7e5bb363e1a2cca4adb742f85c606158f5b4c

Observation 5604bdfe-6cd7-4a69-a280-c70d49ec7b52 · inbound

DataDignity: Training Data Attribution for Large Language Models cites this paper.

DataDignity: Training Data Attribution for Large Language Models Towards Tracing Factual Knowledge in Language Models Back to the Training Data

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-11T19:26:10.412339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-08T11:53:19.594779Z digest=sha256:9bf424b3c970b155aa0c1b022a1ce2cb8c66d7b3f779b4a43c866d1b8f7dfa03

Observation a2afa993-a3ed-438e-8bec-ddc8ea7762c7 · inbound

ReflectFact: Self-Reflective Agents for Improving Comprehension and Reasoning in Multi-Hop Fact Verification cites this paper.

ReflectFact: Self-Reflective Agents for Improving Comprehension and Reasoning in Multi-Hop Fact Verification Towards Tracing Factual Knowledge in Language Models Back to the Training Data

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-15T21:31:49.566809Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:31:49.566809Z digest=sha256:f6e9c810535aaff7cabee0281f9332a29ef909a8f7a5e011c635e7f9d5689dd0