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Paper Citation Record · LEDGER

Operational Proto-Introspection in Looped Language Models: Process-Quality Taps, Executable Branching, and the Readout-Control Boundary

As of 10 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:2607.18553.

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

pith.paper-citation-record.v1
2607.18553 v3

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T15:08:39.272032Z

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+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

30 of 30 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved30
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3a85572e-bbce-4d02-b2d4-223c176b4fed · outbound

This paper cites Refusal in Language Models Is Mediated by a Single Direction.

Operational Proto-Introspection in Looped Language Models: Process-Quality Taps, Executable Branching, and the Readout-Control Boundary Refusal in Language Models Is Mediated by a Single Direction

Reference 1

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no resolver link, observed 2026-08-01T15:08:36.295096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T15:08:36.295096Z digest=sha256:248cf18e82ddbcd2871478ca6a629daf8f8d875ecb2e31bd00c073a3bfe9c60d

Observation 8843568b-2476-4aef-a437-d13abbd3763e · outbound

This paper cites Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback.

Operational Proto-Introspection in Looped Language Models: Process-Quality Taps, Executable Branching, and the Readout-Control Boundary Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback

Reference 2

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no resolver link, observed 2026-08-01T15:08:36.361613Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-01T15:08:36.361613Z digest=sha256:d001b4f8087cf3e0b086ddfe80158c50b034b5525e927304d8f75d13232e1a6f

Observation 53abd113-7977-453a-8b82-67a813624b44 · outbound

This paper cites Tell me about yourself: LLMs are aware of their learned behaviors.

Operational Proto-Introspection in Looped Language Models: Process-Quality Taps, Executable Branching, and the Readout-Control Boundary Tell me about yourself: LLMs are aware of their learned behaviors

Reference 3

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no resolver link, observed 2026-08-01T15:08:36.489413Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T15:08:36.489413Z digest=sha256:80b0959229060c96682e488ac65a288a9bff94c65ba55254bef558c49f003f38

Observation b55c7487-df42-4a6c-9c8a-85b7ea894d76 · outbound

This paper cites Looking Inward: Language Models Can Learn About Themselves by Introspection.

Operational Proto-Introspection in Looped Language Models: Process-Quality Taps, Executable Branching, and the Readout-Control Boundary Looking Inward: Language Models Can Learn About Themselves by Introspection

Reference 4

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no resolver link, observed 2026-08-01T15:08:36.595363Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T15:08:36.595363Z digest=sha256:43b92f40a59b5d13893804bc1af5a45886521696f56a4557e83b9a9b5a8890ee

Observation 04c97a1d-c13c-4ef4-84a8-2c6408658242 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Operational Proto-Introspection in Looped Language Models: Process-Quality Taps, Executable Branching, and the Readout-Control Boundary Training Verifiers to Solve Math Word Problems

Reference 5

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no resolver link, observed 2026-08-01T15:08:36.688961Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T15:08:36.688961Z digest=sha256:b2a85915af836e930abdaa7b07918e24477c2d771182b933ac24aae50c3832e6

Observation 3e08785a-ba2b-413c-9aaf-c8314446764b · outbound

This paper cites Does It Make Sense to Speak of Introspection in Large Language Models?.

Operational Proto-Introspection in Looped Language Models: Process-Quality Taps, Executable Branching, and the Readout-Control Boundary Does It Make Sense to Speak of Introspection in Large Language Models?

Reference 6

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no resolver link, observed 2026-08-01T15:08:36.808192Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T15:08:36.808192Z digest=sha256:9882b23cbb4ce3b7ad13ba44b437d1ccba34babff269a5e866e468d771f35ca9

Observation bc735ae7-d981-4eb3-98cc-38534912a65d · outbound

This paper cites Memory-Efficient Looped Transformer: Decoupling Compute from Memory in Looped Language Models.

Operational Proto-Introspection in Looped Language Models: Process-Quality Taps, Executable Branching, and the Readout-Control Boundary Memory-Efficient Looped Transformer: Decoupling Compute from Memory in Looped Language Models

Reference 7

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no resolver link, observed 2026-08-01T15:08:36.957679Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T15:08:36.957679Z digest=sha256:4890e0e8c79420f6c3944718644afa1161090d9c6222afbf9c2fa05ce6333d93

Observation 1d19b981-b5a6-4ecb-a0bc-a1d8f74e08c7 · outbound

This paper cites Unlocking Decoding-time Controllability: Gradient-Free Multi-Objective Alignment with Contrastive Prompts.

Operational Proto-Introspection in Looped Language Models: Process-Quality Taps, Executable Branching, and the Readout-Control Boundary Unlocking Decoding-time Controllability: Gradient-Free Multi-Objective Alignment with Contrastive Prompts

Reference 8

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source=arxiv_source observed=2026-08-01T15:08:37.083536Z digest=sha256:36a7a458755108c5db3a5ffaced7e8f9998a2c254b1393faf7ed52f6367d09b0

Observation f91fd41c-1765-4611-98b1-a9fa0227f239 · outbound

This paper cites Scaling up Test-Time Compute with Latent Reasoning: A Recurrent Depth Approach.

Operational Proto-Introspection in Looped Language Models: Process-Quality Taps, Executable Branching, and the Readout-Control Boundary Scaling up Test-Time Compute with Latent Reasoning: A Recurrent Depth Approach

Reference 9

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T15:08:37.209421Z digest=sha256:ae102ddc1dc58631e6eb7c0c94dc18b64c4361bba66677c92760dbfc447f1749

Observation eb8a5515-6542-49c4-8898-5940e292126a · outbound

This paper cites Training Large Language Models to Reason in a Continuous Latent Space.

Operational Proto-Introspection in Looped Language Models: Process-Quality Taps, Executable Branching, and the Readout-Control Boundary Training Large Language Models to Reason in a Continuous Latent Space

Reference 10

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no resolver link, observed 2026-08-01T15:08:37.294894Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T15:08:37.294894Z digest=sha256:e01e1219a78698aad32d2b8fea8205752e47aad8cf57edb717e96a73963e0cfe

Observation 6c21cdec-e57d-493b-98ea-bcfe95920b5d · outbound

This paper cites Measuring Mathematical Problem Solving With the MATH Dataset.

Operational Proto-Introspection in Looped Language Models: Process-Quality Taps, Executable Branching, and the Readout-Control Boundary Measuring Mathematical Problem Solving With the MATH Dataset

Reference 11

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no resolver link, observed 2026-08-01T15:08:37.337647Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T15:08:37.337647Z digest=sha256:747b343cb572424fd01a8a893d0bc74a1eba85dd7e5f4b57e49a1deb9e99c4f7

Observation 31021af6-423e-469e-9c57-fea260c51ae5 · outbound

This paper cites Relational Preference Encoding in Looped Transformer Internal States.

Operational Proto-Introspection in Looped Language Models: Process-Quality Taps, Executable Branching, and the Readout-Control Boundary Relational Preference Encoding in Looped Transformer Internal States

Reference 12

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no resolver link, observed 2026-08-01T15:08:37.483971Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T15:08:37.483971Z digest=sha256:e0ebb7fef6a6667c9ade920e9e79694cb496e2af48964c0dc3849af79a0b7ff7

Observation 7f733765-f9be-43b0-bd9c-a2579c0b9889 · outbound

This paper cites Chain of Thought Monitorability: A New and Fragile Opportunity for AI Safety.

Operational Proto-Introspection in Looped Language Models: Process-Quality Taps, Executable Branching, and the Readout-Control Boundary Chain of Thought Monitorability: A New and Fragile Opportunity for AI Safety

Reference 13

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T15:08:37.570947Z digest=sha256:86d2a1e76f643a4c36a38ade06284ce1e731a52241b6eb3ab3392ace62fa9d86

Observation 8ab92d01-2c5d-4eb5-a741-bcc0e7ffeb29 · outbound

This paper cites an unresolved cited work.

Operational Proto-Introspection in Looped Language Models: Process-Quality Taps, Executable Branching, and the Readout-Control Boundary Unresolved cited work

Reference 14

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no resolver link, observed 2026-08-01T15:08:37.638894Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T15:08:37.638894Z digest=sha256:68b1509bfc36e06e4c7a13c9817cf42e004f36711c6e48bac51508e2a82685b5

Observation b279f1aa-f346-47f7-9a95-01b75c4c8360 · outbound

This paper cites Efficient Memory Management for Large Language Model Serving with PagedAttention.

Operational Proto-Introspection in Looped Language Models: Process-Quality Taps, Executable Branching, and the Readout-Control Boundary Efficient Memory Management for Large Language Model Serving with PagedAttention

Reference 15

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no resolver link, observed 2026-08-01T15:08:37.728924Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T15:08:37.728924Z digest=sha256:8c8a130e0409b3f9ee41672d6d01ac0a8c325b56ce02c0a3f3b02dcecf102615

Observation 2ee9dde9-c887-4ede-b44e-8cfc9300ca8b · outbound

This paper cites RewardBench: Evaluating Reward Models for Language Modeling.

Operational Proto-Introspection in Looped Language Models: Process-Quality Taps, Executable Branching, and the Readout-Control Boundary RewardBench: Evaluating Reward Models for Language Modeling

Reference 16

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no resolver link, observed 2026-08-01T15:08:37.823880Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T15:08:37.823880Z digest=sha256:f95cdff32143bc91b195ef419b1b0ed5633463e6f5fbfaee253c761597062ac8

Observation d7e783a4-8731-4178-bc97-c6168f4e8e66 · outbound

This paper cites Wilson, Marcelo G.

Operational Proto-Introspection in Looped Language Models: Process-Quality Taps, Executable Branching, and the Readout-Control Boundary Wilson, Marcelo G

Reference 17

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no resolver link, observed 2026-08-01T15:08:37.963522Z

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source=arxiv_source observed=2026-08-01T15:08:37.963522Z digest=sha256:70035a742073374bc873e92bbf591456a4187fc576a8f0d5cbb799b655386dda

Observation 0c0ca9a7-bccb-4f59-8e92-9f4a75f20660 · outbound

This paper cites Let's Verify Step by Step.

Operational Proto-Introspection in Looped Language Models: Process-Quality Taps, Executable Branching, and the Readout-Control Boundary Let's Verify Step by Step

Reference 18

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no resolver link, observed 2026-08-01T15:08:38.072198Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T15:08:38.072198Z digest=sha256:711114a25c0b476c00f36e4af0b81c916e8f3ff2f7c4945776263b02ca893449

Observation d20524e9-2a3e-4faf-8a6a-1a8276f8adc3 · outbound

This paper cites an unresolved cited work.

Operational Proto-Introspection in Looped Language Models: Process-Quality Taps, Executable Branching, and the Readout-Control Boundary Unresolved cited work

Reference 19

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no resolver link, observed 2026-08-01T15:08:38.177717Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T15:08:38.177717Z digest=sha256:8d248a6f408d0158768c44d80f978e200f3607d9241296fc9bb205c9f6239664

Observation 634aa0a5-c83d-4869-94d1-2fd3e3cc657f · outbound

This paper cites Mechanisms of Introspective Awareness.

Operational Proto-Introspection in Looped Language Models: Process-Quality Taps, Executable Branching, and the Readout-Control Boundary Mechanisms of Introspective Awareness

Reference 20

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no resolver link, observed 2026-08-01T15:08:38.349157Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T15:08:38.349157Z digest=sha256:36630c69e75a46cbc5a827d08efc361196c385cbf94a131890a1ab82e5a796ad

Observation 3965f418-3ed1-4778-818f-7b51dc2305eb · outbound

This paper cites The Geometry of Truth: Emergent Linear Structure in Large Language Model Representations of True/False Datasets.

Operational Proto-Introspection in Looped Language Models: Process-Quality Taps, Executable Branching, and the Readout-Control Boundary The Geometry of Truth: Emergent Linear Structure in Large Language Model Representations of True/False Datasets

Reference 21

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no resolver link, observed 2026-08-01T15:08:38.510698Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T15:08:38.510698Z digest=sha256:d1b7fa7877e167b6564573e54248d9d51eedf86b3a0a65b0deb9ccf777fdf5d9

Observation d64d7624-f1d0-442a-a3f1-846587a8297c · outbound

This paper cites SpecInfer: Accelerating Generative Large Language Model Serving with Tree-based Speculative Inference and Verification.

Operational Proto-Introspection in Looped Language Models: Process-Quality Taps, Executable Branching, and the Readout-Control Boundary SpecInfer: Accelerating Generative Large Language Model Serving with Tree-based Speculative Inference and Verification

Reference 22

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no resolver link, observed 2026-08-01T15:08:38.619917Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T15:08:38.619917Z digest=sha256:7c62c91253df43fbd876759d5925e0bb76170da0f60f098b5258b80d03e90eef

Observation 6e0c29cb-0314-4fe4-91d2-51258a1fdd4f · outbound

This paper cites an unresolved cited work.

Operational Proto-Introspection in Looped Language Models: Process-Quality Taps, Executable Branching, and the Readout-Control Boundary Unresolved cited work

Reference 23

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no resolver link, observed 2026-08-01T15:08:38.660742Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T15:08:38.660742Z digest=sha256:1b8b9c71d22dc0f505e6e25e26795034ec543d10fddb64d5205c8edd5fa6fc8e

Observation 3a6cfb9c-d00a-44b1-bc49-bbdd0057ead4 · outbound

This paper cites Reasoning with Latent Thoughts: On the Power of Looped Transformers.

Operational Proto-Introspection in Looped Language Models: Process-Quality Taps, Executable Branching, and the Readout-Control Boundary Reasoning with Latent Thoughts: On the Power of Looped Transformers

Reference 24

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no resolver link, observed 2026-08-01T15:08:38.761430Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T15:08:38.761430Z digest=sha256:f5c5a193807c56c8414da7ed0c5573e9d070d32e5a69432037be2f45b9aad2ba

Observation f5f963a0-f186-4bd9-a9c6-6f47bc7ad03d · outbound

This paper cites Privileged Self-Access Matters for Introspection in AI.

Operational Proto-Introspection in Looped Language Models: Process-Quality Taps, Executable Branching, and the Readout-Control Boundary Privileged Self-Access Matters for Introspection in AI

Reference 25

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no resolver link, observed 2026-08-01T15:08:38.855521Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T15:08:38.855521Z digest=sha256:1fb6890a10007dfef7499fdd3731e25ed7529996a04fe09fb99f4ca056dcd2d7

Observation 563556a6-31d4-4c44-b5ab-e54fcd9796f8 · outbound

This paper cites Prioritize the Process, Not Just the Outcome: Rewarding Latent Thought Trajectories Improves Reasoning in Looped Language Models.

Operational Proto-Introspection in Looped Language Models: Process-Quality Taps, Executable Branching, and the Readout-Control Boundary Prioritize the Process, Not Just the Outcome: Rewarding Latent Thought Trajectories Improves Reasoning in Looped Language Models

Reference 26

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no resolver link, observed 2026-08-01T15:08:38.933972Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T15:08:38.933972Z digest=sha256:bbe1ff731997e307bb5dcad8efb4d8f07a3930ebc06404585e12c52820a545a4

Observation d8fca366-16c7-40da-9099-03a5f90da3c6 · outbound

This paper cites Tree of Thoughts: Deliberate Problem Solving with Large Language Models.

Operational Proto-Introspection in Looped Language Models: Process-Quality Taps, Executable Branching, and the Readout-Control Boundary Tree of Thoughts: Deliberate Problem Solving with Large Language Models

Reference 27

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unresolved
no resolver link, observed 2026-08-01T15:08:39.020948Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T15:08:39.020948Z digest=sha256:12b34a88fad2d33d3967ec7d8ae198648b7dcd5c78ba7ea0c5a0a52a2c4cedba

Observation b1f089ed-3f2d-4762-aee1-b3a92106f3e1 · outbound

This paper cites SGLang: Efficient Execution of Structured Language Model Programs.

Operational Proto-Introspection in Looped Language Models: Process-Quality Taps, Executable Branching, and the Readout-Control Boundary SGLang: Efficient Execution of Structured Language Model Programs

Reference 28

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no resolver link, observed 2026-08-01T15:08:39.087639Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T15:08:39.087639Z digest=sha256:16fd633a181ff360518c14af1a813336dd2be693526f873f85461ac43f60d8e3

Observation d6bcd5c5-6398-40be-937b-55dca6a6b0d8 · outbound

This paper cites Scaling Latent Reasoning via Looped Language Models.

Operational Proto-Introspection in Looped Language Models: Process-Quality Taps, Executable Branching, and the Readout-Control Boundary Scaling Latent Reasoning via Looped Language Models

Reference 29

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no resolver link, observed 2026-08-01T15:08:39.191224Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T15:08:39.191224Z digest=sha256:38fef07532c7276ef6d7078961ab5c6272a8d80ebe42ceb7f6fa6f79f9b38788

Observation df708262-05cd-4e72-9a3e-c30f88663e00 · outbound

This paper cites Representation Engineering: A Top-Down Approach to AI Transparency.

Operational Proto-Introspection in Looped Language Models: Process-Quality Taps, Executable Branching, and the Readout-Control Boundary Representation Engineering: A Top-Down Approach to AI Transparency

Reference 30

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no resolver link, observed 2026-08-01T15:08:39.272032Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T15:08:39.272032Z digest=sha256:9bf67533c0cb184dfda7cbea5a7e79772cd60f6989180b0aab9dcd2ce6a8c392

Pith citing papers

No inbound Pith citation observations are available.