Paper Citation Record · LEDGER

CogniConsole: Externalizing Inference-Time Control as a Formal Abstraction for Reliable LLM Interactions

As of 9 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 0 inbound Pith citation observations for arXiv:2607.08774.

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

pith.paper-citation-record.v1
2607.08774 v1

Coverage vector

measured 24 of 24 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-13T08:11:52.254741Z

measured 24 of 24 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

24 of 24 outbound references displayed

verified exact1
verified fuzzy0
unresolved23
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ecf09e35-a942-4aec-a84e-875cf00fd42c · outbound

This paper cites On the dangers of stochastic parrots: Can language models be too big? InProceedings of the 2021 ACM conference on fairness, accountability, and transparency, pages 610–623, 2021.

CogniConsole: Externalizing Inference-Time Control as a Formal Abstraction for Reliable LLM Interactions On the dangers of stochastic parrots: Can language models be too big? InProceedings of the 2021 ACM conference on fairness, accountability, and transparency, pages 610–623, 2021

Reference 1

Resolution: unresolved; no resolver link, observed 2026-07-13T08:11:52.254741Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e118adac-6001-457f-a8ad-09a2bb90e62d · outbound

This paper cites Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, et al.

CogniConsole: Externalizing Inference-Time Control as a Formal Abstraction for Reliable LLM Interactions Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, et al

Reference 2

Resolution: unresolved; no resolver link, observed 2026-07-13T08:11:52.254741Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 101cc8a6-d9f1-42ff-b966-16303d8e5794 · outbound

This paper cites Language models are few-shot learners.

CogniConsole: Externalizing Inference-Time Control as a Formal Abstraction for Reliable LLM Interactions Language models are few-shot learners

Reference 3

Resolution: unresolved; no resolver link, observed 2026-07-13T08:11:52.254741Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 053936e2-8644-49d7-b719-ccf25f2938eb · outbound

This paper cites Revisiting scaling laws for language models: The role of data quality and training strategies.

CogniConsole: Externalizing Inference-Time Control as a Formal Abstraction for Reliable LLM Interactions Revisiting scaling laws for language models: The role of data quality and training strategies

Reference 4

Resolution: unresolved; no resolver link, observed 2026-07-13T08:11:52.254741Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 75f9a80d-6200-4ff4-8c12-16c1c865bbe1 · outbound

This paper cites Retrieval augmented language model pre-training.

CogniConsole: Externalizing Inference-Time Control as a Formal Abstraction for Reliable LLM Interactions Retrieval augmented language model pre-training

Reference 5

Resolution: unresolved; no resolver link, observed 2026-07-13T08:11:52.254741Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5989cc4b-6c0d-4f39-bf8f-7ca444313b6a · outbound

This paper cites Scaling Laws for Neural Language Models.

CogniConsole: Externalizing Inference-Time Control as a Formal Abstraction for Reliable LLM Interactions Scaling Laws for Neural Language Models

Reference 6

Resolution: unresolved; no resolver link, observed 2026-07-13T08:11:52.254741Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 166c37d4-9ec9-4947-b9de-f3922827ac59 · outbound

This paper cites Generalization through Memorization: Nearest Neighbor Language Models.

CogniConsole: Externalizing Inference-Time Control as a Formal Abstraction for Reliable LLM Interactions Generalization through Memorization: Nearest Neighbor Language Models

Reference 7

Resolution: unresolved; no resolver link, observed 2026-07-13T08:11:52.254741Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b49db019-6b9c-461e-b629-cb4028351397 · outbound

This paper cites Llms get lost in multi-turn conversa- tion, 2025.

CogniConsole: Externalizing Inference-Time Control as a Formal Abstraction for Reliable LLM Interactions Llms get lost in multi-turn conversa- tion, 2025

Reference 8

Resolution: unresolved; no resolver link, observed 2026-07-13T08:11:52.254741Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7fb03a3d-9998-4ffd-9f0b-62a482f893db · outbound

This paper cites Retrieval-augmented generation for knowledge- intensive NLP tasks.

CogniConsole: Externalizing Inference-Time Control as a Formal Abstraction for Reliable LLM Interactions Retrieval-augmented generation for knowledge- intensive NLP tasks

Reference 9

Resolution: unresolved; no resolver link, observed 2026-07-13T08:11:52.254741Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 72e0d8a3-4b0d-4063-9f61-6b3c929c58ac · outbound

This paper cites Manning, Christopher Ré, Diana Acosta-Navas, Drew A.

CogniConsole: Externalizing Inference-Time Control as a Formal Abstraction for Reliable LLM Interactions Manning, Christopher Ré, Diana Acosta-Navas, Drew A

Reference 10

Resolution: unresolved; no resolver link, observed 2026-07-13T08:11:52.254741Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a18930de-bfe9-422e-890b-700c99b121fc · outbound

This paper cites Holistic Evaluation of Language Models.

CogniConsole: Externalizing Inference-Time Control as a Formal Abstraction for Reliable LLM Interactions Holistic Evaluation of Language Models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-07-13T08:11:52.254741Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2b28f733-a616-431e-bc92-a8502f0ab3a6 · outbound

This paper cites Lost in the middle: How language models use long contexts.Transactions of the association for computational linguistics, 12:157–173, 2024.

CogniConsole: Externalizing Inference-Time Control as a Formal Abstraction for Reliable LLM Interactions Lost in the middle: How language models use long contexts.Transactions of the association for computational linguistics, 12:157–173, 2024

Reference 12

Resolution: unresolved; no resolver link, observed 2026-07-13T08:11:52.254741Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 20dacbe3-3370-4e30-933e-5e345669d26e · outbound

This paper cites Prompting science report 1: Prompt engineering is complicated and contingent, 2025.

CogniConsole: Externalizing Inference-Time Control as a Formal Abstraction for Reliable LLM Interactions Prompting science report 1: Prompt engineering is complicated and contingent, 2025

Reference 13

Resolution: unresolved; no resolver link, observed 2026-07-13T08:11:52.254741Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 95152a36-37c4-411b-a8d5-2b48fd294acd · outbound

This paper cites Askit: Unified programming interface for programming with large language models.

CogniConsole: Externalizing Inference-Time Control as a Formal Abstraction for Reliable LLM Interactions Askit: Unified programming interface for programming with large language models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-07-13T08:11:52.254741Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4a5c144b-14b9-4e2e-9a8c-911dfa30d8d8 · outbound

This paper cites Direct preference optimization: Your language model is secretly a reward model.Advances in neural information processing systems, 36:53728–53741, 2023.

CogniConsole: Externalizing Inference-Time Control as a Formal Abstraction for Reliable LLM Interactions Direct preference optimization: Your language model is secretly a reward model.Advances in neural information processing systems, 36:53728–53741, 2023

Reference 15

Resolution: unresolved; no resolver link, observed 2026-07-13T08:11:52.254741Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2c8b4759-49d4-4b7e-bf79-132f2b008d94 · outbound

This paper cites From prompt engineering to prompt science with humans in the loop.Communications of the ACM, 68(6):54–61, 2025.

CogniConsole: Externalizing Inference-Time Control as a Formal Abstraction for Reliable LLM Interactions From prompt engineering to prompt science with humans in the loop.Communications of the ACM, 68(6):54–61, 2025

Reference 16

Resolution: verified exact; doi, observed 2026-07-13T08:19:28.822361Z

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 dfc9d78e-65cc-404c-ad7d-aa43e9077a8e · outbound

This paper cites On the Brittle Foundations of ReAct Prompting for Agentic Large Language Models.

CogniConsole: Externalizing Inference-Time Control as a Formal Abstraction for Reliable LLM Interactions On the Brittle Foundations of ReAct Prompting for Agentic Large Language Models

Reference 17

Resolution: unresolved; no resolver link, observed 2026-07-13T08:11:52.254741Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 58da33de-ad81-4b90-a694-1056d1ba2d22 · outbound

This paper cites Self-Consistency Improves Chain of Thought Reasoning in Language Models.

CogniConsole: Externalizing Inference-Time Control as a Formal Abstraction for Reliable LLM Interactions Self-Consistency Improves Chain of Thought Reasoning in Language Models

Reference 19

Resolution: unresolved; no resolver link, observed 2026-07-13T08:11:52.254741Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 121ae699-df88-406e-b2df-597a45abb0bf · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models.Advances in neural information processing systems, 35:24824–24837, 2022.

CogniConsole: Externalizing Inference-Time Control as a Formal Abstraction for Reliable LLM Interactions Chain-of-thought prompting elicits reasoning in large language models.Advances in neural information processing systems, 35:24824–24837, 2022

Reference 20

Resolution: unresolved; no resolver link, observed 2026-07-13T08:11:52.254741Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fb433c32-223f-4f2e-a494-408662bebca2 · outbound

This paper cites React: Synergizing reasoning and acting in language models.

CogniConsole: Externalizing Inference-Time Control as a Formal Abstraction for Reliable LLM Interactions React: Synergizing reasoning and acting in language models

Reference 21

Resolution: unresolved; no resolver link, observed 2026-07-13T08:11:52.254741Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ae943e18-2c78-4ed9-ba53-3ab7f9404bbe · outbound

This paper cites Tree of thoughts: Deliberate problem solving with large language models.Advances in neural information processing systems, 36:11809–11822, 2023.

CogniConsole: Externalizing Inference-Time Control as a Formal Abstraction for Reliable LLM Interactions Tree of thoughts: Deliberate problem solving with large language models.Advances in neural information processing systems, 36:11809–11822, 2023

Reference 22

Resolution: unresolved; no resolver link, observed 2026-07-13T08:11:52.254741Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6362f1e5-611b-4bf4-b864-f7ba8d069dbe · outbound

This paper cites louvre-heist.json.

CogniConsole: Externalizing Inference-Time Control as a Formal Abstraction for Reliable LLM Interactions louvre-heist.json

Reference 23

Resolution: unresolved; no resolver link, observed 2026-07-13T08:11:52.254741Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d0917776-a9fd-4e3b-a8b8-e99dda620d49 · outbound

This paper cites an unresolved cited work.

CogniConsole: Externalizing Inference-Time Control as a Formal Abstraction for Reliable LLM Interactions Unresolved cited work

Reference 24

Resolution: unresolved; no resolver link, observed 2026-07-13T08:11:52.254741Z

Source-reported events for the cited work

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Observation 53dbd5b7-742c-4672-b52d-236a7dc87de2 · outbound

This paper cites an unresolved cited work.

CogniConsole: Externalizing Inference-Time Control as a Formal Abstraction for Reliable LLM Interactions Unresolved cited work

Reference 25

Resolution: unresolved; no resolver link, observed 2026-07-13T08:11:52.254741Z

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Pith citing papers

No inbound Pith citation observations are available.