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Paper Citation Record · LEDGER

Measuring Attribution in Natural Language Generation Models

As of 14 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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-12T03:17:32.272353Z digest=sha256:c058033b6fe43b638aadf1645f2e6442a5b4ef1443a6abd22a602c6b1a185051

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-10T12:54:44.636760Z digest=sha256:2aac566d9c77c2565086cf1501e602a35bf842b9bb3d34e39be5176dd94d8172

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.

source=pdf_text observed=2026-08-10T18:47:54.278296Z digest=sha256:63835d3236b9f4514483d7a17153fc96aa89e54729422f32f3544e84f86863ae

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-17T17:44:13.310155Z digest=sha256:a5f5e30bfe529c71bb023bdb6da0aa43966e27830cfda65637302d1130b3457a

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-22T16:05:04.715678Z digest=sha256:19d21bc543c1a9d4020fae3198a3c8862104edec944eea6e290e5c94b1891fd9

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-28T10:35:11.989106Z digest=sha256:8af5e89f9590eb6dd422626720c7c02b536fdff63fc7f5b0a8d200c9b334e13f

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-06-27T09:47:04.122464Z digest=sha256:3255ec60be9a9bf8b98668f2a6474825bff1f368637192891251fa77d4d3e6bf

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-25T19:06:10.735053Z digest=sha256:d0e6a7c4c3953889217263f85c4e7513505af774c900df99a2fa98357fbe80bb