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Paper Citation Record · LEDGER

Understanding Large Language Model Behaviors through Interactive Counterfactual Generation and Analysis

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2405.00708.

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

pith.paper-citation-record.v1
2405.00708 v2

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 2026-08-07T06:34:17.273281+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T09:08:57.521820Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T17:08:12.437258Z

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 dfa82a3d-622d-4171-9c0a-66f6eb1daea8 · inbound

Bias in Large Language Models: Origin, Evaluation, and Mitigation cites this paper.

Bias in Large Language Models: Origin, Evaluation, and Mitigation Understanding Large Language Model Behaviors through Interactive Counterfactual Generation and Analysis

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-23T17:08:12.439745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-23T17:08:09.267577Z digest=sha256:a3aee9a8d1e117fa7d2ddf1efe12d3dd9023598cce38262aa961136d0efa21c5

Observation b9c42b94-f518-4db5-9af6-6678ae074b95 · inbound

Explainability of Large Language Models: Opportunities and Challenges toward Generating Trustworthy Explanations cites this paper.

Explainability of Large Language Models: Opportunities and Challenges toward Generating Trustworthy Explanations Understanding Large Language Model Behaviors through Interactive Counterfactual Generation and Analysis

Reference 91

Resolution
unresolved
no resolver link, observed 2026-08-04T09:08:57.521820Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T09:08:57.521820Z digest=sha256:531655b254b1ac6f9ede66d7bad1d58a7da58ab5cfbea943182055486e40fd00

Observation 58e9ff92-90ff-4929-8d30-d4c268faf61a · inbound

NoisyCausal: A Benchmark for Evaluating Causal Reasoning Under Structured Noise cites this paper.

NoisyCausal: A Benchmark for Evaluating Causal Reasoning Under Structured Noise Understanding Large Language Model Behaviors through Interactive Counterfactual Generation and Analysis

Reference 14

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T17:56:07.211827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-08T16:54:17.663989Z digest=sha256:923d763a6ad6e9e220299b7c03821e991d41dc3362a522364dfd1a09c8887354