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Paper Citation Record · LEDGER

Predictability and Surprise in Large Generative Models

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2202.07785.

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

pith.paper-citation-record.v1
2202.07785 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 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 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T04:43:58.694251Z

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

23
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 e0263ff9-b00f-4ffa-8683-8d7859ca9bd6 · inbound

Scaling Laws and Interpretability of Learning from Repeated Data cites this paper.

Scaling Laws and Interpretability of Learning from Repeated Data Predictability and Surprise in Large Generative Models

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-17T15:52:40.408240Z

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=2026-05-17T15:52:40.335080Z digest=sha256:0e6cc01a421c7e4322a4c0de0a7ee5316fd4aca56a319815634ec458e44d84ec

Observation 0137f471-9dea-4caa-abac-40e00a09c203 · inbound

Emergent Abilities of Large Language Models cites this paper.

Emergent Abilities of Large Language Models Predictability and Surprise in Large Generative Models

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-05-11T07:38:38.320008Z

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=2026-05-11T07:38:37.734402Z digest=sha256:e92428e4c0611476e9d41d2237f0ab1a605fb4c66a372cb64f02ffac03080235

Observation b8078295-1f9f-4b4d-98c2-450eeb8e9b06 · inbound

Language Models (Mostly) Know What They Know cites this paper.

Language Models (Mostly) Know What They Know Predictability and Surprise in Large Generative Models

Reference 70

Resolution
verified exact
arxiv_id, observed 2026-05-10T15:42:47.408298Z

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=2026-05-10T15:42:47.274448Z digest=sha256:d04bf1b249f9cd8f161fb8cf106c3b48cc437e7575b1b53aef7316a97023da10

Observation 1293880e-a33c-4cfe-95f8-e5bce8f26bce · inbound

Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors, and Lessons Learned cites this paper.

Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors, and Lessons Learned Predictability and Surprise in Large Generative Models

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-05-12T01:38:08.494401Z

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=2026-05-12T01:38:08.362920Z digest=sha256:1f1d750163a97f1b7919a3584bf3654e4fdbcff6ff313dfd2fe931a48f619e32

Observation 80c6ee95-4c36-4f9a-8763-3005d8ca255d · inbound

The Falcon Series of Open Language Models cites this paper.

The Falcon Series of Open Language Models Predictability and Surprise in Large Generative Models

Reference 11

Resolution
metadata mismatch
arxiv_id, observed 2026-05-16T09:46:09.885048Z

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=2026-05-16T09:46:09.701440Z digest=sha256:f38bd731e2cec9236300b3c9a9e5b80fbfa753ef48f5fbc31a92f785ee9ccbc9

Observation 4321e283-7fc7-452f-92ba-fb3e7899ae79 · inbound

Automated Extraction of Acronym-Expansion Pairs from Scientific Papers cites this paper.

Automated Extraction of Acronym-Expansion Pairs from Scientific Papers Predictability and Surprise in Large Generative Models

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-12T04:43:58.694251Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:43:58.694251Z digest=sha256:afe72e4f61d1617fc41a52de77ab0b9c12f07f367a17e8899c44af7acc636a3c

Observation 9bcede3f-8071-4eaf-a6de-c8b9701bae44 · inbound

Verifying International Agreements on AI: Six Layers of Verification for Rules on Large-Scale AI Development and Deployment cites this paper.

Verifying International Agreements on AI: Six Layers of Verification for Rules on Large-Scale AI Development and Deployment Predictability and Surprise in Large Generative Models

Reference 2021

Resolution
unresolved
no resolver link, observed 2026-08-06T15:25:53.591576Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:25:53.591576Z digest=sha256:4adf33c9a246cd74b53eef1fe547e95418b6d3093bfc176d8fb86c89b05642c2

Observation bbb2d31e-819d-4527-85be-b99fa9871a36 · inbound

Understanding the Mechanism of Altruism in Large Language Models cites this paper.

Understanding the Mechanism of Altruism in Large Language Models Predictability and Surprise in Large Generative Models

Reference 79

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T13:31:02.364368Z

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=2026-05-10T01:36:50.329664Z digest=sha256:ed05d04642c126d418abfdc378041ef430bd0ba1841c67811a3b222c1ef0e7d4

Observation 296a9cf8-c4c8-4ed6-b2e8-585eb3837f07 · inbound

Artificial Jagged Intelligence as Uneven Optimization Energy Allocation Capability Concentration, Redistribution, and Optimization Governance cites this paper.

Artificial Jagged Intelligence as Uneven Optimization Energy Allocation Capability Concentration, Redistribution, and Optimization Governance Predictability and Surprise in Large Generative Models

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-11T17:01:09.070814Z

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=2026-05-09T14:13:59.908810Z digest=sha256:ad9cbed2f6b86957515642b90c4edd5df09d3c2d9d749d5c1c30886ffe49561b

Observation 037babd9-acd0-4ebb-8e0e-a2b526739ab7 · inbound

Beyond Pairs: Your Language Model is Secretly Optimizing a Preference Graph cites this paper.

Beyond Pairs: Your Language Model is Secretly Optimizing a Preference Graph Predictability and Surprise in Large Generative Models

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-05-11T03:30:58.515188Z

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=2026-05-11T02:26:33.933264Z digest=sha256:278959e55024ab0b1a1c0c6310c880c70eca4d2194063c02448ce848b9d8baf5

Observation e36236b2-2401-4264-873c-9318020092c7 · inbound

Emergent Semantic Role Understanding in Language Models cites this paper.

Emergent Semantic Role Understanding in Language Models Predictability and Surprise in Large Generative Models

Reference 49

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T07:46:26.306195Z

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=2026-05-12T02:01:52.686162Z digest=sha256:5f59442017c6ba109a66732f6bdceed9ed8d5f6596e58d5ae8cef53724462562