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Paper Citation Record · LEDGER

Measuring Attribution in Natural Language Generation Models

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 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 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-28T10:35:11.989106Z

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-12T03:17:32.272353Z digest=sha256:51cdabb1505d80f680f51ea9d95084798bad27bfa26f2018ecae4636a5d50d64

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-10T12:54:44.636760Z digest=sha256:175cee3711b531fc5805d96091a7b8a5c1207747e416c9f758266f282500f645

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-17T17:44:13.310155Z digest=sha256:50ef6758ed7764882c407d357402ec1a640e215576a5dfc81f605a483715281e

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-22T16:05:04.715678Z digest=sha256:b5e5169d42eda707aeae1557946aed90de8c1a3e34c32f959db142fbd05d5e90

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-28T10:35:11.989106Z digest=sha256:c6270e617708a94f4ad09b14ec4d6e82dcc9f782d498434df895e0c021daa3b8

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-06-27T09:47:04.122464Z digest=sha256:d5169667e00b840406688b878fde6fb61c2b4d6f89054fe7c0845cb3423c6d0e

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-25T19:06:10.735053Z digest=sha256:18559aed60da3433025185d380d89dbe26b3341f136283d0b190769fb31d4cbc