Paper Citation Record · LEDGER

Measuring Attribution in Natural Language Generation Models

As of 24 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2112.12870.

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

pith.paper-citation-record.v1
2112.12870 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T18:47:54.278296Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T21:10:08.614527Z

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 5b08e53a-3912-4bf8-ae94-13006ef025ef · inbound

LaMDA: Language Models for Dialog Applications cites this paper.

LaMDA: Language Models for Dialog Applications Measuring Attribution in Natural Language Generation Models

Reference 88

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T03:17:32.387327Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 64c460d5-1232-4ef0-841e-d77c901b30e3 · inbound

Chain-of-Thought Prompting Elicits Reasoning in Large Language Models cites this paper.

Chain-of-Thought Prompting Elicits Reasoning in Large Language Models Measuring Attribution in Natural Language Generation Models

Reference 55

Resolution: verified exact; arxiv_id, observed 2026-05-10T12:54:44.825028Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 3a0d9cd3-3505-4da9-9525-99a9349483a7 · inbound

Hallucination Mitigation using Agentic AI Natural Language-Based Frameworks cites this paper.

Hallucination Mitigation using Agentic AI Natural Language-Based Frameworks Measuring Attribution in Natural Language Generation Models

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-10T18:47:54.278296Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2fb11dd0-9454-49c5-a115-713f5088472e · inbound

ZeroSearch: Incentivize the Search Capability of LLMs without Searching cites this paper.

ZeroSearch: Incentivize the Search Capability of LLMs without Searching Measuring Attribution in Natural Language Generation Models

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-05-17T17:44:13.527718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 031031ae-629b-47f3-a859-97cae4a60cf7 · inbound

ZeroSearch: Incentivize the Search Capability of LLMs without Searching cites this paper.

ZeroSearch: Incentivize the Search Capability of LLMs without Searching Measuring Attribution in Natural Language Generation Models

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-05-22T16:06:46.041523Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5e19602d-ca63-441d-bdb9-f8f4d4175fc0 · inbound

Re-Ranking Through an Attribution Lens for Citation Quality in Legal QA cites this paper.

Re-Ranking Through an Attribution Lens for Citation Quality in Legal QA Measuring Attribution in Natural Language Generation Models

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-07-02T02:46:29.390603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 86111039-4e4a-4cb7-8d4d-0d291f5f31b6 · inbound

WorldReasoner: Evaluating Whether Language Model Agents Forecast Events with Valid Reasoning cites this paper.

WorldReasoner: Evaluating Whether Language Model Agents Forecast Events with Valid Reasoning Measuring Attribution in Natural Language Generation Models

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-07-03T10:58:02.657429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation d98da117-b346-4e74-b383-5a9d5aab966d · inbound

How Large Language Models Source Brand Reputation Across Languages and Markets cites this paper.

How Large Language Models Source Brand Reputation Across Languages and Markets Measuring Attribution in Natural Language Generation Models

Reference 2

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T21:10:08.618099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.