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Paper Citation Record · LEDGER

Counterfactual Token Generation in Large Language Models

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2409.17027.

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

pith.paper-citation-record.v1
2409.17027 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:25:01.774373Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-25T08:15:34.043824Z

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 48156475-bbf9-4589-aeb0-3a2922224227 · inbound

CounterBench: Evaluating and Improving Counterfactual Reasoning in Large Language Models cites this paper.

CounterBench: Evaluating and Improving Counterfactual Reasoning in Large Language Models Counterfactual Token Generation in Large Language Models

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-23T03:12:28.504040Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-23T03:09:38.961123Z digest=sha256:a502e47a243dcc67dd9f3354d07b592881031895df03d320e9ffe53fa28d3241

Observation f319710e-6780-47f1-b2a7-238ff4eb86be · inbound

Robust Counterfactual Inference in Markov Decision Processes cites this paper.

Robust Counterfactual Inference in Markov Decision Processes Counterfactual Token Generation in Large Language Models

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-25T08:15:34.046870Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-25T08:12:09.352914Z digest=sha256:c472765909415ce3b0acd99843ced09c7f5d1c1a02951b8820ed40705c3cbf66

Observation 9baf9f07-a516-4a61-ad5c-3e7ea76b21f4 · inbound

Abstract Counterfactuals for Language Model Agents cites this paper.

Abstract Counterfactuals for Language Model Agents Counterfactual Token Generation in Large Language Models

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-07T11:25:01.774373Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:25:01.774373Z digest=sha256:21d9bb0d8bf03de7a9f6470c38d00e0a630b12f8b8ddb30c6806f35c9c8be1a3

Observation 77a8d546-c9e6-436e-a5c6-3503ba20ae16 · inbound

Fine-Grained Interpretation of Political Opinions in Large Language Models cites this paper.

Fine-Grained Interpretation of Political Opinions in Large Language Models Counterfactual Token Generation in Large Language Models

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-07T10:40:12.349798Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:40:12.349798Z digest=sha256:3cd35b7150d675527a59dd1bffee670b8763e276cbc098478c05e1a3e672afdc