Paper Citation Record · LEDGER

Confident Adaptive Language Modeling

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2207.07061.

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

pith.paper-citation-record.v1
2207.07061 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 2026-08-09T06:31:02.800959+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:37:03.036731Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T09:59:45.315505Z

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 5cea69e7-f654-467b-92ae-725723f1a5ed · inbound

Eliciting Latent Predictions from Transformers with the Tuned Lens cites this paper.

Eliciting Latent Predictions from Transformers with the Tuned Lens Confident Adaptive Language Modeling

Reference 80

Resolution: verified exact; arxiv_id, observed 2026-05-12T16:54:37.507008Z

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.

Observation 22378bbd-5427-4fc9-afa4-e41b9c43a8ed · inbound

Void in Language Models cites this paper.

Void in Language Models Confident Adaptive Language Modeling

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T15:37:03.036731Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5ccbbc02-303e-4792-a050-e86bf4528569 · inbound

Controlling the Risk of Corrupted Contexts for Language Models via Early-Exiting cites this paper.

Controlling the Risk of Corrupted Contexts for Language Models via Early-Exiting Confident Adaptive Language Modeling

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-04T12:45:26.595129Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0659cdc3-f57c-41fd-8944-939f3a38eea3 · inbound

Sparse Layers are Critical to Scaling Looped Language Models cites this paper.

Sparse Layers are Critical to Scaling Looped Language Models Confident Adaptive Language Modeling

Reference 10

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T06:21:28.220499Z

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.

Observation 7b3c31ce-afb1-40e2-bb03-9e3114b67417 · inbound

Sparse Layers are Critical to Scaling Looped Language Models cites this paper.

Sparse Layers are Critical to Scaling Looped Language Models Confident Adaptive Language Modeling

Reference 10

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T07:35:29.157001Z

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.

Observation b4525c14-1770-4e4b-b0e3-48e659d7f0b5 · inbound

Prefix-Safe Bayesian Belief Tracking for LLM Reasoning Reliability:Separating Calibration from Ranking cites this paper.

Prefix-Safe Bayesian Belief Tracking for LLM Reasoning Reliability:Separating Calibration from Ranking Confident Adaptive Language Modeling

Reference 32

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T17:03:40.942023Z

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.

Observation 662d754e-536b-46d8-8387-8c62b9f5a6b7 · inbound

CosmicFish-HRM: Adaptive Reasoning via Hierarchical Recurrent Mechanisms in Compact Language Models cites this paper.

CosmicFish-HRM: Adaptive Reasoning via Hierarchical Recurrent Mechanisms in Compact Language Models Confident Adaptive Language Modeling

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-06-29T14:13:30.416015Z

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.

Observation 6f9e85fa-de17-40aa-8f78-9f0d80976167 · inbound

RKSC: Reasoning-Aware KV Cache Sharing and Confident Early Exit for Multi-Step LLM Inference cites this paper.

RKSC: Reasoning-Aware KV Cache Sharing and Confident Early Exit for Multi-Step LLM Inference Confident Adaptive Language Modeling

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-07-02T23:07:26.757666Z

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.

Observation f42929fe-4eee-4e92-b9ce-aeb0d87f3d6a · inbound

Tapered Language Models cites this paper.

Tapered Language Models Confident Adaptive Language Modeling

Reference 31

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T09:59:45.316951Z

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.

Observation 18876a6a-65bf-4505-bc80-fe044b0dc32f · inbound

Per-Token Fixed-Point Convergence in Depth-Recurrent Transformers cites this paper.

Per-Token Fixed-Point Convergence in Depth-Recurrent Transformers Confident Adaptive Language Modeling

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-02T02:11:15.941481Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ae663fd2-ba56-4803-a46a-35226df5be85 · inbound

Adaptive Depth in Looped Transformers: Diagnosing Learned Halting Gates and Trajectory Readouts cites this paper.

Adaptive Depth in Looped Transformers: Diagnosing Learned Halting Gates and Trajectory Readouts Confident Adaptive Language Modeling

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-02T08:13:29.940326Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.