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Paper Citation Record · LEDGER

Impact of Pretraining Term Frequencies on Few-Shot Reasoning

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 17 inbound Pith citation observations for arXiv:2202.07206.

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

pith.paper-citation-record.v1
2202.07206 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 17 of 17 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:46:41.895184Z

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

52
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 01a05a26-bf01-49d4-9df8-5807f7ce6383 · inbound

Rethinking the Role of Demonstrations: What Makes In-Context Learning Work? cites this paper.

Rethinking the Role of Demonstrations: What Makes In-Context Learning Work? Impact of Pretraining Term Frequencies on Few-Shot Reasoning

Reference 233

Resolution
verified exact
arxiv_id, observed 2026-05-15T09:51:46.827773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-15T09:51:46.701149Z digest=sha256:d65ad84382eef8c98d9b1f25606db25069ce2bfd1d98064f8f886922c8a2fb9b

Observation 54b293eb-e812-472a-bea4-f310996b2ebf · inbound

GPT-NeoX-20B: An Open-Source Autoregressive Language Model cites this paper.

GPT-NeoX-20B: An Open-Source Autoregressive Language Model Impact of Pretraining Term Frequencies on Few-Shot Reasoning

Reference 78

Resolution
verified exact
arxiv_id, observed 2026-05-24T12:34:28.416757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-24T12:33:37.701655Z digest=sha256:c07b8365b942694f148263f37502dfee1da72ea020572c8a47ebb3f25cadf697

Observation e8d86078-f8e2-48d7-8194-a57df04f238b · inbound

Emergent Abilities of Large Language Models cites this paper.

Emergent Abilities of Large Language Models Impact of Pretraining Term Frequencies on Few-Shot Reasoning

Reference 72

Resolution
verified exact
arxiv_id, observed 2026-05-11T07:38:38.165398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-11T07:38:37.734402Z digest=sha256:3c502455c87282de5eb12a3f10df9d12991dbd8ea3b9fd31d2017db6dad8355a

Observation 8672014b-7f27-402c-bb53-a3c9b37b70f8 · inbound

Galactica: A Large Language Model for Science cites this paper.

Galactica: A Large Language Model for Science Impact of Pretraining Term Frequencies on Few-Shot Reasoning

Reference 69

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T05:53:22.055272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-13T05:53:21.810346Z digest=sha256:0dca8e629ceb0febc916e2f2739586f443ccfbc36a3b7d1c22edf9904974fc80

Observation 8a995ce9-c4d8-4d31-abed-941a317836c1 · inbound

Galactica: A Large Language Model for Science cites this paper.

Galactica: A Large Language Model for Science Impact of Pretraining Term Frequencies on Few-Shot Reasoning

Reference 227

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T05:53:22.237899Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-13T05:53:21.810346Z digest=sha256:0f1a4793bd6f2768a605af6ff39bf8fa18919aa099d22174ee646ec92012293d

Observation da32dcb5-8fc4-4e14-83e3-78363a856b8a · 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 Impact of Pretraining Term Frequencies on Few-Shot Reasoning

Reference 195

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T17:45:17.920564Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-15T17:45:17.540282Z digest=sha256:f7e5668aa6016b82196736fcad5a00d727975b320f93e3f2a1fc12d3867b2470

Observation 14a4c33b-2d6e-4f2a-8727-26076b975ff4 · inbound

Lessons from the Trenches on Reproducible Evaluation of Language Models cites this paper.

Lessons from the Trenches on Reproducible Evaluation of Language Models Impact of Pretraining Term Frequencies on Few-Shot Reasoning

Reference 22

Resolution
metadata mismatch
arxiv_id, observed 2026-05-16T18:44:49.706673Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-16T18:44:49.519995Z digest=sha256:6efbbc2a2a332aad3642459a5a955470b9e6bb5b84d01fc0d30e44dbaee95cca

Observation 9201bdf1-90f0-436a-b6f2-a05a4df7be43 · inbound

FoNE: Precise Single-Token Number Embeddings via Fourier Features cites this paper.

FoNE: Precise Single-Token Number Embeddings via Fourier Features Impact of Pretraining Term Frequencies on Few-Shot Reasoning

Reference 35

Resolution
verified exact
arxiv_id, observed 2026-05-23T03:12:28.768124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-23T03:07:37.363965Z digest=sha256:c45587f52778f42faf88095145f21ea6b9c078a04d8decc70b47f333a49f0199

Observation 96a215f7-aea2-4809-8792-3e305c525d57 · inbound

Lost in Cultural Translation: Do LLMs Struggle with Math Across Cultural Contexts? cites this paper.

Lost in Cultural Translation: Do LLMs Struggle with Math Across Cultural Contexts? Impact of Pretraining Term Frequencies on Few-Shot Reasoning

Reference 17

Resolution
metadata mismatch
arxiv_id, observed 2026-05-22T22:27:12.356129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-22T22:27:02.059459Z digest=sha256:b2d36d4734336957eead3493517a3bd2587ef9e2469f5bec2568615ebc21e88f

Observation 078640bb-dca3-4481-b332-812e91aec898 · inbound

FineWeb2: One Pipeline to Scale Them All -- Adapting Pre-Training Data Processing to Every Language cites this paper.

FineWeb2: One Pipeline to Scale Them All -- Adapting Pre-Training Data Processing to Every Language Impact of Pretraining Term Frequencies on Few-Shot Reasoning

Reference 94

Resolution
unresolved
no resolver link, observed 2026-08-06T22:46:41.895184Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:46:41.895184Z digest=sha256:64c5ca31d0495eba229f8f156c4c72d107012fc2b388032975e84ffc967a75c0

Observation b41c34cf-72e6-4aae-abee-49da67b101bd · inbound

Thinking About Thinking: SAGE-nano's Inverse Reasoning for Self-Aware Language Models cites this paper.

Thinking About Thinking: SAGE-nano's Inverse Reasoning for Self-Aware Language Models Impact of Pretraining Term Frequencies on Few-Shot Reasoning

Reference 75

Resolution
unresolved
no resolver link, observed 2026-08-06T21:38:15.795444Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:38:15.795444Z digest=sha256:f2cb013f224ebe5323da8fa56871a3a30403e8abdefbeb8aaf4e80cc357bfc46

Observation 2ef4cab7-085d-491c-903b-7a69c12ddcbb · 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 Impact of Pretraining Term Frequencies on Few-Shot Reasoning

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-06T20:30:26.144643Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T20:30:26.144643Z digest=sha256:10a06c332e934ba801f5b3fae7f9cff6df8c74e39d5a203c8baf37cc0ba7ec0a

Observation 39b90c69-6173-473d-89c5-9781419596c3 · inbound

On the Fitness Landscape in the $NK$ Model cites this paper.

On the Fitness Landscape in the $NK$ Model Impact of Pretraining Term Frequencies on Few-Shot Reasoning

Reference 87

Resolution
unresolved
no resolver link, observed 2026-08-05T19:28:59.907714Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T19:28:59.907714Z digest=sha256:892d1d9cf9fa5d085f9841c29eff65e3f470345c3e013ab955be9e5b0d8cc6e8

Observation 982bf71f-cd45-4f0e-81d2-a4354d0f29a5 · inbound

Gradient-Based Program Synthesis with Neurally Interpreted Languages cites this paper.

Gradient-Based Program Synthesis with Neurally Interpreted Languages Impact of Pretraining Term Frequencies on Few-Shot Reasoning

Reference 62

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T11:56:07.917353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-10T04:29:33.858344Z digest=sha256:a822a2ec847c5404c96dcc1b5cf08f2545ad848856b90779efc2aed011538cb8

Observation e98c3a0f-eacb-4322-86db-9bae92a6577b · inbound

The Right Answer, the Wrong Direction: Why Transformers Fail at Counting and How to Fix It cites this paper.

The Right Answer, the Wrong Direction: Why Transformers Fail at Counting and How to Fix It Impact of Pretraining Term Frequencies on Few-Shot Reasoning

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-11T23:16:14.411831Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-07T17:53:24.057211Z digest=sha256:a2ed4c388d02848efc37291922a6fbe208f5fdd0bbd2efaa61eae23f12e24a68

Observation 970fb9b9-569b-4820-b7ee-eb532daed6f1 · inbound

The Right Answer, the Wrong Direction: Why Transformers Fail at Counting and How to Fix It cites this paper.

The Right Answer, the Wrong Direction: Why Transformers Fail at Counting and How to Fix It Impact of Pretraining Term Frequencies on Few-Shot Reasoning

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-19T17:02:40.944101Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-19T16:57:52.801399Z digest=sha256:d4d94b007cf6ef12f9adb3d4b452b02cd841b15c04d3292a0415412fe196ce88

Observation d1f9451f-9f69-4859-ac5b-057c0d771b01 · inbound

LLM-as-a-Coach: Experiential Learning for Non-Verifiable Tasks cites this paper.

LLM-as-a-Coach: Experiential Learning for Non-Verifiable Tasks Impact of Pretraining Term Frequencies on Few-Shot Reasoning

Reference 239

Resolution
unresolved
no resolver link, observed 2026-08-01T16:08:01.080671Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T16:08:01.080671Z digest=sha256:5f093be5f75455fb4f62667c009783bff99b3e8a8982e4e02a2c5bbbfd271394