Paper Citation Record · LEDGER

Recitation-Augmented Language Models

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2210.01296.

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

pith.paper-citation-record.v1
2210.01296 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 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 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:19:24.083359Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-24T05:13:57.187262Z

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 5cb38eb6-3ed7-4048-bd23-95e6b9fba5c1 · inbound

Towards Expert-Level Medical Question Answering with Large Language Models cites this paper.

Towards Expert-Level Medical Question Answering with Large Language Models Recitation-Augmented Language Models

Reference 128

Resolution: metadata mismatch; arxiv_id, observed 2026-05-24T04:32:33.650152Z

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.

Observation 721fa620-babe-4d84-bdc3-1a90c9f378ee · inbound

DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines cites this paper.

DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines Recitation-Augmented Language Models

Reference 52

Resolution: verified exact; arxiv_id, observed 2026-05-11T18:57:47.116332Z

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.

Observation 466d1541-7a48-4777-8316-b0d3d09686ee · inbound

Retrieval-Augmented Generation for Large Language Models: A Survey cites this paper.

Retrieval-Augmented Generation for Large Language Models: A Survey Recitation-Augmented Language Models

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-24T05:13:57.190714Z

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.

Observation 8f9268ad-155c-4c1f-b28b-14256a71e7e2 · inbound

RAPTOR: Recursive Abstractive Processing for Tree-Organized Retrieval cites this paper.

RAPTOR: Recursive Abstractive Processing for Tree-Organized Retrieval Recitation-Augmented Language Models

Reference 147

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T13:07:16.464232Z

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.

Observation cdb9f4ea-f9a8-4ed8-b6a2-0ec7526e6943 · inbound

Inference Scaling Laws: An Empirical Analysis of Compute-Optimal Inference for Problem-Solving with Language Models cites this paper.

Inference Scaling Laws: An Empirical Analysis of Compute-Optimal Inference for Problem-Solving with Language Models Recitation-Augmented Language Models

Reference 191

Resolution: metadata mismatch; arxiv_id, observed 2026-05-18T06:38:36.942692Z

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.

Observation 51d6fd14-8671-42cf-b0dc-10c20d934ddd · inbound

Towards an AI co-scientist cites this paper.

Towards an AI co-scientist Recitation-Augmented Language Models

Reference 210

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T13:02:45.178888Z

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.

Observation 5673b98c-c6c1-4739-acae-cf4a36e9fa1d · inbound

ChartLens: Fine-grained Visual Attribution in Charts cites this paper.

ChartLens: Fine-grained Visual Attribution in Charts Recitation-Augmented Language Models

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-07T14:19:24.083359Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6a22b29a-b9d8-4698-8272-760f108b83b2 · inbound

TokenShapley: Token Level Context Attribution with Shapley Value cites this paper.

TokenShapley: Token Level Context Attribution with Shapley Value Recitation-Augmented Language Models

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-06T23:53:18.347989Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5731dff5-8acf-4945-9aa5-e1cc6a7a641f · inbound

Understanding New-Knowledge-Induced Factual Hallucinations in LLMs: Analysis and Interpretation cites this paper.

Understanding New-Knowledge-Induced Factual Hallucinations in LLMs: Analysis and Interpretation Recitation-Augmented Language Models

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-18T01:25:34.966631Z

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.