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Paper Citation Record · LEDGER

Language Model Cascades

As of 14 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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-24T11:10:40.864420Z digest=sha256:f94309e148ee433e648d0246b9c826512dea68842a4733f0c0321a955970ac35

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-17T12:17:26.602361Z digest=sha256:756152509bf43c8af93bc0669de0da9a5746f08ba01b91e5f3923d0ddaf88648

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-16T19:33:44.146134Z digest=sha256:0e19577e8247aacdbabb097ef9b2a7d0d81cfdca5b286733e47c76018125ba54

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-11T18:57:46.756656Z digest=sha256:13c03cd3011eab008bdc43a7eb43489b6d08501bd3150220dffcd4354db42ed2

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.

source=pdf_text observed=2026-08-11T05:24:20.922116Z digest=sha256:9c5acaf9c2e9211a9c03d702f812f9edfec5bef44912af6432c3a863be0c03fd

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.

source=pdf_text observed=2026-08-09T01:05:22.989297Z digest=sha256:8c91be3d420267dd140decb36b18898245ecdd4e695121f9a218ab8e681121e7

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.

source=arxiv_source observed=2026-08-06T16:50:47.019507Z digest=sha256:5741f9a6ad4ff807699551798ae27793119199b54ae2466c9816717cf280d6eb

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-15T14:37:18.060044Z digest=sha256:c9c90e3a86f717c8c18c69ae99413abc912c1ef64e1073af928586dce4aaaa2d

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T04:56:00.039588Z digest=sha256:1b96102048ef52228d84c96fbe22945da5236c85442b62c98090579b768973a4

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T15:48:31.092215Z digest=sha256:39ac621b427c8040c39f33c6a3d35fc2e9b5a2b572f4aec3795d25aef19791ce

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-11T01:54:49.131461Z digest=sha256:26503d3df574fd0dc77855258da2f80baccab92a46013643cfe80e3d1102a8c1

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-13T04:05:52.853863Z digest=sha256:412afac815d4967a5c7d1d0a873e3c89b81007202a597d248b8fc278e460a8f9

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-21T08:07:35.959083Z digest=sha256:dfe1e2ffe9e93cee538ed4e47767a74bf8321300396f33f57d5bc6ec431fdabd

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 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-05-20T02:43:25.793783Z digest=sha256:ca387f621e0d3b87d0d7e19e2311e345b547606c93dba93a1d0d108a56215c93

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-28T18:41:06.636352Z digest=sha256:610170d3aaea5e2f99250632d9639f9b37dd06dd5d05ce19a2b1ad28e2ef72a1

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-27T21:49:27.042616Z digest=sha256:5278f7113a774d64317c96f4880d9d34aeeb8d1cee0e27bf5d2d8bd81e35ce47

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.

source=pdf_text observed=2026-07-11T17:40:19.452782Z digest=sha256:7829fd12d530a4aff363bd2d838fda5020e7e047339bf14524b6bc6159af09c7

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.

source=pdf_text observed=2026-07-31T03:38:01.896169Z digest=sha256:a06331cb448829943646a9e055544972058dabc0ca3e3fec41516fc017b4d02e

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.

source=pdf_text observed=2026-08-03T01:49:18.434066Z digest=sha256:1422dcf77e21e862104195f2ad4a7a99e7facb0c4493ba9b55988fba6ddce6cd

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.

source=pdf_text observed=2026-08-01T05:22:39.477868Z digest=sha256:bd46162c3501dfa790ff0ff2381d412bf7c0d0f71e14eb25b78f0bc17edd9db6