Paper Citation Record · LEDGER

Language Model Cascades

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 20 inbound Pith citation observations for arXiv:2207.10342.

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

pith.paper-citation-record.v1
2207.10342 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 20 of 20 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T05:24:20.922116Z

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

22
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 482ce093-cc67-4a9e-b050-8d17ea4ced7e · inbound

Solving math word problems with process- and outcome-based feedback cites this paper.

Solving math word problems with process- and outcome-based feedback Language Model Cascades

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-24T11:14:23.251351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 1ceb9b66-2f59-4931-89f6-5d13a5f45e38 · inbound

Language Models can Solve Computer Tasks cites this paper.

Language Models can Solve Computer Tasks Language Model Cascades

Reference 14

Resolution: metadata mismatch; arxiv_id, observed 2026-05-17T12:17:26.707381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation df846f96-a30d-4e0b-a3f0-ae9e7ebc5226 · inbound

Cognitive Architectures for Language Agents cites this paper.

Cognitive Architectures for Language Agents Language Model Cascades

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-16T19:33:44.309792Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 002cffc7-0744-4e77-9f67-f7a792df08ed · inbound

DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines cites this paper.

DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines Language Model Cascades

Reference 15

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T18:57:47.326622Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation a7aefa3f-ddfd-4ddf-9c9e-581dfea35e95 · inbound

Understanding the Logic of Direct Preference Alignment through Logic cites this paper.

Understanding the Logic of Direct Preference Alignment through Logic Language Model Cascades

Reference 2007

Resolution: unresolved; no resolver link, observed 2026-08-11T05:24:20.922116Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1fe8c671-47f9-4bc7-9edd-ea37f7f9cf18 · inbound

MultiQ&A: An Analysis in Measuring Robustness via Automated Crowdsourcing of Question Perturbations and Answers cites this paper.

MultiQ&A: An Analysis in Measuring Robustness via Automated Crowdsourcing of Question Perturbations and Answers Language Model Cascades

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-09T01:05:22.989297Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2134bcbd-2158-4cd6-b2cf-f53def1e1d55 · inbound

Modeling Open-World Cognition as On-Demand Synthesis of Probabilistic Models cites this paper.

Modeling Open-World Cognition as On-Demand Synthesis of Probabilistic Models Language Model Cascades

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T16:50:47.019507Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cfdbbbcd-1358-47a0-9026-b8c7128b5fe3 · inbound

Grounding Machine Creativity in Game Design Knowledge Representations: Empirical Probing of LLM-Based Executable Synthesis of Goal Playable Patterns under Structural Constraints cites this paper.

Grounding Machine Creativity in Game Design Knowledge Representations: Empirical Probing of LLM-Based Executable Synthesis of Goal Playable Patterns under Structural Constraints Language Model Cascades

Reference 2

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T14:40:04.369576Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 373c788a-d26e-4dd0-98cd-f2a446610f87 · inbound

Correction and Corruption: A Two-Rate View of Error Flow in LLM Protocols cites this paper.

Correction and Corruption: A Two-Rate View of Error Flow in LLM Protocols Language Model Cascades

Reference 4

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T11:05:09.441229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation b1a66da9-cd0f-45d9-9f7d-b818c1037d8b · inbound

Model Routing as a Trust Problem: Route Receipts for Adaptive AI Systems cites this paper.

Model Routing as a Trust Problem: Route Receipts for Adaptive AI Systems Language Model Cascades

Reference 13

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T09:50:59.213336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 2dacb5f9-0f88-4f9c-be97-d66df6993f90 · inbound

The Moltbook Files: A Harmless Slopocalypse or Humanity's Last Experiment cites this paper.

The Moltbook Files: A Harmless Slopocalypse or Humanity's Last Experiment Language Model Cascades

Reference 46

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T01:55:51.045241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 5e11c793-c499-41cc-b06e-4a232e108ead · inbound

Online Learning-to-Defer with Varying Experts cites this paper.

Online Learning-to-Defer with Varying Experts Language Model Cascades

Reference 110

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T04:07:13.145509Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 354ce0b8-1ee1-43ab-a652-f06c36708f58 · inbound

Online Learning-to-Defer with Varying Experts cites this paper.

Online Learning-to-Defer with Varying Experts Language Model Cascades

Reference 110

Resolution: metadata mismatch; arxiv_id, observed 2026-05-21T08:09:51.382708Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 76aeb1cc-f0da-4377-9749-4a204c2be23f · inbound

Density-Ratio Losses for Post-Hoc Learning to Defer cites this paper.

Density-Ratio Losses for Post-Hoc Learning to Defer Language Model Cascades

Reference 14

Resolution: metadata mismatch; arxiv_id, observed 2026-05-20T02:47:58.968331Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 42dff23c-0adb-402a-964e-f45fa7b3dcf1 · inbound

Trustworthy Recommendation in the Era of Large Language Models: Opportunities and Challenges cites this paper.

Trustworthy Recommendation in the Era of Large Language Models: Opportunities and Challenges Language Model Cascades

Reference 45

Resolution: verified exact; arxiv_id, observed 2026-06-28T18:42:29.136967Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 36e7473e-6b57-4dca-976e-1eb369525154 · inbound

Scaling Participation in Modular AI Systems cites this paper.

Scaling Participation in Modular AI Systems Language Model Cascades

Reference 64

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T18:57:16.619223Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation dd392c9c-d313-4b40-83d8-95a5b7243517 · inbound

Auto: The AGI Compiler cites this paper.

Auto: The AGI Compiler Language Model Cascades

Reference 3

Resolution: unresolved; no resolver link, observed 2026-07-11T17:40:19.452782Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3f9373e4-61c8-4338-82dc-8f98b0a3ce07 · inbound

Conformal Cascade: Distribution-Free Accuracy Guarantees for Multi-Tier LLM Inference cites this paper.

Conformal Cascade: Distribution-Free Accuracy Guarantees for Multi-Tier LLM Inference Language Model Cascades

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-07-31T03:38:01.896169Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 802b2ad4-1d6a-43ce-94b2-f477412433db · inbound

Conformal Cascade: Distribution-Free Accuracy Guarantees for Multi-Tier LLM Inference cites this paper.

Conformal Cascade: Distribution-Free Accuracy Guarantees for Multi-Tier LLM Inference Language Model Cascades

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-03T01:49:18.434066Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2b993043-8873-4737-8546-e11bce33d10a · inbound

What makes prompts a graph: necessary and sufficient conditions for prompt graph engineering cites this paper.

What makes prompts a graph: necessary and sufficient conditions for prompt graph engineering Language Model Cascades

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-01T05:22:39.477868Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.