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Paper Citation Record · LEDGER

Large Language Models Struggle to Learn Long-Tail Knowledge

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2211.08411.

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

pith.paper-citation-record.v1
2211.08411 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:30:26.130944Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

96
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation eb3f261f-39d8-4a6b-b548-3c8512d81c6d · inbound

Pythia: A Suite for Analyzing Large Language Models Across Training and Scaling cites this paper.

Pythia: A Suite for Analyzing Large Language Models Across Training and Scaling Large Language Models Struggle to Learn Long-Tail Knowledge

Reference 197

Resolution
verified exact
arxiv_id, observed 2026-05-15T17:45:17.931495Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-15T17:45:17.540282Z digest=sha256:25a7337aa0df0331e2f66ece6efe6bf523887bf1949a1e6bdcf5e2c09d738581

Observation ba424888-5580-46bf-8b70-f2e585b9c019 · inbound

The False Promise of Imitating Proprietary LLMs cites this paper.

The False Promise of Imitating Proprietary LLMs Large Language Models Struggle to Learn Long-Tail Knowledge

Reference 143

Resolution
verified exact
arxiv_id, observed 2026-05-18T06:54:31.476336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-18T06:54:31.175090Z digest=sha256:e6f30e1c12ff6ecfeeaec7975a5f3d0e7e2c1dad9f70323bd4397a81108000b6

Observation d59674d0-e163-406c-b6ed-5cf6abd8aa67 · inbound

Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection cites this paper.

Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection Large Language Models Struggle to Learn Long-Tail Knowledge

Reference 75

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T14:15:11.002234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-12T14:15:10.907921Z digest=sha256:6d0d51e1e9a1439b026fd1e99890781d49b41194f49ab5c627f2c69fcc2f825d

Observation b51fef49-47a3-4847-b4a8-52917a898310 · inbound

Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection cites this paper.

Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection Large Language Models Struggle to Learn Long-Tail Knowledge

Reference 90

Resolution
verified exact
arxiv_id, observed 2026-05-12T14:15:11.093431Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-12T14:15:10.907921Z digest=sha256:fd721824788eaedcaf2d488753b6e8a3b175d954b1764d2ae73b15d7f86c5713

Observation 3a4dab26-4154-445b-a2d8-e3c214dfc6e0 · inbound

Experiments with Large Language Models on Retrieval-Augmented Generation for Closed-Source Simulation Software cites this paper.

Experiments with Large Language Models on Retrieval-Augmented Generation for Closed-Source Simulation Software Large Language Models Struggle to Learn Long-Tail Knowledge

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-05-23T04:32:33.811490Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-23T04:28:56.938020Z digest=sha256:5de3d7db66d31d6a7014fec2be96f7a5a80621fb6f94d9a8dc0e8e11a6127a4d

Observation d8569696-e83c-4834-9a9a-3a19c09baf64 · inbound

Strategic Intelligence in Large Language Models: Evidence from evolutionary Game Theory cites this paper.

Strategic Intelligence in Large Language Models: Evidence from evolutionary Game Theory Large Language Models Struggle to Learn Long-Tail Knowledge

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-06T20:30:26.130944Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T20:30:26.130944Z digest=sha256:b19b2aa66fea5597cd16b568c007a1d9b1ab76a2b0d8058a5c60379e66374dc8

Observation 733f2203-7747-4b55-bc59-110ab47346e1 · inbound

LinkQA: Synthesizing Diverse QA from Multiple Seeds Strongly Linked by Knowledge Points cites this paper.

LinkQA: Synthesizing Diverse QA from Multiple Seeds Strongly Linked by Knowledge Points Large Language Models Struggle to Learn Long-Tail Knowledge

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-06T05:48:26.674234Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T05:48:26.674234Z digest=sha256:ac5d35d38abce7c5409671246d914cc1226f06efe7af9324095a32839ecaaf73

Observation 8afe1dfe-87f6-4f42-9dfb-3ad04f07f255 · inbound

How Psychological Learning Paradigms Shaped and Constrained Artificial Intelligence cites this paper.

How Psychological Learning Paradigms Shaped and Constrained Artificial Intelligence Large Language Models Struggle to Learn Long-Tail Knowledge

Reference 45

Resolution
verified exact
arxiv_id, observed 2026-05-15T09:19:54.541543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-15T09:15:29.172450Z digest=sha256:1d3c4f741c640725799a644093c0626b68b3090d65fffdf0206c19adf36d0380

Observation fec5129d-15b3-4a07-a58a-8872fbd8f85a · inbound

MeMo: Memory as a Model cites this paper.

MeMo: Memory as a Model Large Language Models Struggle to Learn Long-Tail Knowledge

Reference 10

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T03:19:43.422664Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-15T03:17:23.202604Z digest=sha256:3d3c28fad9d40ddcf82c7ebb6b88da08e3ad5a96de0cb36aa59743c2ea34d005

Observation cb07395f-3cae-4326-bddc-65c605deb6d4 · inbound

MeMo: Memory as a Model cites this paper.

MeMo: Memory as a Model Large Language Models Struggle to Learn Long-Tail Knowledge

Reference 10

Resolution
metadata mismatch
arxiv_id, observed 2026-05-21T08:39:53.656378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-21T08:36:31.022046Z digest=sha256:68ddffc5323b393920e55ec47350351a4eda7d29a3f5d18bb88c51974fdefa58

Observation 0a1f40e2-dd73-4469-9bd1-6b9da1da5511 · inbound

Predictable Confabulations: Factual Recall by LLMs Scales with Model Size and Topic Frequency cites this paper.

Predictable Confabulations: Factual Recall by LLMs Scales with Model Size and Topic Frequency Large Language Models Struggle to Learn Long-Tail Knowledge

Reference 11

Resolution
metadata mismatch
arxiv_id, observed 2026-05-20T11:03:13.761819Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-20T10:59:32.371351Z digest=sha256:b0aa745741aa2c93a8f09e14adccf1f95937e18e54b8cdb2fb6031062d64baf7

Observation 9f756cd9-7bc9-4442-861a-d88571d78832 · inbound

Safety is Contextual, LLM-Judges Are Not: Navigating the Rigid Priors of Evaluators cites this paper.

Safety is Contextual, LLM-Judges Are Not: Navigating the Rigid Priors of Evaluators Large Language Models Struggle to Learn Long-Tail Knowledge

Reference 99

Resolution
verified exact
arxiv_id, observed 2026-06-27T21:41:18.534970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-27T21:39:26.268337Z digest=sha256:0d623f7ee29d3a5ef3b30ffc29dcb5dd4902947fb9999d2360c576d00bc62107