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Paper Citation Record · LEDGER

NEST: Nascent Encoded Steganographic Thoughts

As of 17 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 0 inbound Pith citation observations for arXiv:2602.14095.

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

pith.paper-citation-record.v1
2602.14095 v2

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T23:21:35.299605Z

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+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

35 of 35 outbound references displayed

  • verified exact1
  • verified fuzzy0
  • unresolved34
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 015bdc5a-8ed3-4720-aeb9-711edb5abb07 · outbound

This paper cites Training fails to elicit subtle reasoning in current language models.

NEST: Nascent Encoded Steganographic Thoughts Training fails to elicit subtle reasoning in current language models

Reference 1

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source=arxiv_source observed=2026-08-02T23:21:31.089020Z digest=sha256:de69d9e995f0026924ba4b020c1917467d93bf9fab385bd7ddf008e7022149c4

Observation 4bc4ceda-8734-4625-addb-79961c6c573b · outbound

This paper cites Foundational Challenges in Assuring Alignment and Safety of Large Language Models.

NEST: Nascent Encoded Steganographic Thoughts Foundational Challenges in Assuring Alignment and Safety of Large Language Models

Reference 2

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source=arxiv_source observed=2026-08-02T23:21:31.165458Z digest=sha256:fbfb5175acd4b0ef7834b5787e03c421cc4011666f8cf530e45cdb89b5873dc1

Observation 821be72d-fc1e-43d1-81d8-938d19c7cb92 · outbound

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

NEST: Nascent Encoded Steganographic Thoughts Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback

Reference 3

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source=arxiv_source observed=2026-08-02T23:21:31.268006Z digest=sha256:61a8454a7bfa0afacb0033351e254327e2ff87a8b09c6bafa5c81f96b1705835

Observation 594ec124-4ed8-4604-883f-6793265912e4 · outbound

This paper cites Monitoring Reasoning Models for Misbehavior and the Risks of Promoting Obfuscation.

NEST: Nascent Encoded Steganographic Thoughts Monitoring Reasoning Models for Misbehavior and the Risks of Promoting Obfuscation

Reference 4

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source=arxiv_source observed=2026-08-02T23:21:31.338133Z digest=sha256:6f6593000f9b8afb4b65fafe59978fc46bb176b78f5f8b15f4eeaa810b08f497

Observation 2b298638-ae12-4fe7-ae5b-e9e6af4518df · outbound

This paper cites Is Power-Seeking AI an Existential Risk?.

NEST: Nascent Encoded Steganographic Thoughts Is Power-Seeking AI an Existential Risk?

Reference 5

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source=arxiv_source observed=2026-08-02T23:21:31.552309Z digest=sha256:bf109b5027740f6c9f8b532bf9f573dd645593a5708b0e5bdbf27ad4e0d01f76

Observation 0dfadef9-6ba9-462c-b42c-acac049722a7 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

NEST: Nascent Encoded Steganographic Thoughts Training Verifiers to Solve Math Word Problems

Reference 6

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source=arxiv_source observed=2026-08-02T23:21:31.666294Z digest=sha256:7d74fe11fb4cc804b1f3b14c5132a85178cb3e3b60f45077d285e83b22ba162b

Observation 4c44f0ef-d1e6-45ff-9b78-93137bbc0ec7 · outbound

This paper cites Perfectly Secure Steganography Using Minimum Entropy Coupling.

NEST: Nascent Encoded Steganographic Thoughts Perfectly Secure Steganography Using Minimum Entropy Coupling

Reference 7

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source=arxiv_source observed=2026-08-02T23:21:31.882236Z digest=sha256:71ba5ea40ce26c0f6c1ba48a64dc7a960296757f69565668dc6ca746634b34c6

Observation 40adc88c-f90e-4f69-9e5b-4f5dcadedd65 · outbound

This paper cites When Chain of Thought is Necessary, Language Models Struggle to Evade Monitors.

NEST: Nascent Encoded Steganographic Thoughts When Chain of Thought is Necessary, Language Models Struggle to Evade Monitors

Reference 8

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source=arxiv_source observed=2026-08-02T23:21:32.032004Z digest=sha256:d676e13ff204e69e9b2713c1bce9f5f1821a640c5e37d3bc1d1f732a6f91d471

Observation d7cba60c-98a3-4fd5-88dd-8e6a6cc988b5 · outbound

This paper cites MONA: Myopic Optimization with Non-myopic Approval Can Mitigate Multi-step Reward Hacking.

NEST: Nascent Encoded Steganographic Thoughts MONA: Myopic Optimization with Non-myopic Approval Can Mitigate Multi-step Reward Hacking

Reference 9

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source=arxiv_source observed=2026-08-02T23:21:32.114597Z digest=sha256:0fb73053846f70cefbaf5aecc6316df09e4298d516cff004e1c2b5952c605d79

Observation 99166c4d-a50d-4b60-8e9e-6240a4da226a · outbound

This paper cites AI Control: Improving Safety Despite Intentional Subversion.

NEST: Nascent Encoded Steganographic Thoughts AI Control: Improving Safety Despite Intentional Subversion

Reference 10

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source=arxiv_source observed=2026-08-02T23:21:32.317208Z digest=sha256:60cac056eb55702b49bc84e2f7077c2c2cf77b84b675a3b8f1a824a7b1ce5e8d

Observation 1ec674f1-7c12-4b88-bee7-0dc9b234233d · outbound

This paper cites All Code , No Thought : Current Language Models Struggle to Reason in Ciphered Language.

NEST: Nascent Encoded Steganographic Thoughts All Code , No Thought : Current Language Models Struggle to Reason in Ciphered Language

Reference 11

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source=arxiv_source observed=2026-08-02T23:21:32.570561Z digest=sha256:426731bd91e8e4f90f7242390741b0421e05559da21534a91086023b7ca1be88

Observation 94b1b30c-8c5b-49c0-8233-3b9285073697 · outbound

This paper cites Multi- Agent Risks from Advanced AI.

NEST: Nascent Encoded Steganographic Thoughts Multi- Agent Risks from Advanced AI

Reference 12

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source=arxiv_source observed=2026-08-02T23:21:32.745790Z digest=sha256:68352da563e3a38612c866c20b0472a47f80bdef48d3b5baaa75e15c32245d66

Observation 4318ff17-736c-44cb-bc00-ad4ce85a2202 · outbound

This paper cites most important century.

NEST: Nascent Encoded Steganographic Thoughts most important century

Reference 13

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source=arxiv_source observed=2026-08-02T23:21:32.957968Z digest=sha256:0cbd4595f0f6736156682aa0cd7ab8b679004c7033b745fce6cd0fe60f311a5a

Observation 108cd321-e34a-4718-948e-e93d50c9e416 · outbound

This paper cites The Steganographic Potentials of Language Models.

NEST: Nascent Encoded Steganographic Thoughts The Steganographic Potentials of Language Models

Reference 15

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source=arxiv_source observed=2026-08-02T23:21:33.176999Z digest=sha256:a600e943e72e2267d7406d8e49f6ded93c5c51bcd273c5303feee59c89c7fdcf

Observation bc4549e9-1eee-471c-a054-5d6bdb805ec1 · outbound

This paper cites AI 2027: What Superintelligence Looks Like.

NEST: Nascent Encoded Steganographic Thoughts AI 2027: What Superintelligence Looks Like

Reference 16

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source=arxiv_source observed=2026-08-02T23:21:33.286750Z digest=sha256:8b5bbee4dcf7d3f17da1f7c781019323a44314b4f3b1eb4ef08cba167ecd98f3

Observation 024bf749-cdf2-417c-b718-5b33e39aa676 · outbound

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

NEST: Nascent Encoded Steganographic Thoughts Chain of Thought Monitorability: A New and Fragile Opportunity for AI Safety

Reference 17

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source=arxiv_source observed=2026-08-02T23:21:33.388146Z digest=sha256:87fd7bd45fa099ff55a2b8ce15851cfce46940d718952ab1c17655ec8de0c9c3

Observation 9319adab-4c8b-4a46-9645-1a53519ecabd · outbound

This paper cites Measuring Faithfulness in Chain-of-Thought Reasoning.

NEST: Nascent Encoded Steganographic Thoughts Measuring Faithfulness in Chain-of-Thought Reasoning

Reference 18

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source=arxiv_source observed=2026-08-02T23:21:33.531254Z digest=sha256:2a16e932b5793c8d967ddbd03bb0ac1d14e6362c0a386f4e240d3c6d501c75be

Observation 87adf753-f6ff-4075-8687-82f1cd134235 · outbound

This paper cites The Rise of Parasitic AI.

NEST: Nascent Encoded Steganographic Thoughts The Rise of Parasitic AI

Reference 19

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source=arxiv_source observed=2026-08-02T23:21:33.667865Z digest=sha256:edf71acf4997f1fe797733afaf2237e90efd8b2691789ddb6b922f841e4c89e8

Observation ef8cb11a-8bb7-41e0-9037-f4d2de58e612 · outbound

This paper cites A Review on Text Steganography Techniques.

NEST: Nascent Encoded Steganographic Thoughts A Review on Text Steganography Techniques

Reference 20

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doi, observed 2026-08-02T23:23:24.807391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-02T23:21:33.792491Z digest=sha256:698f171265f4b60aef0b25e1cf236f63661c726a3880157b565f058189d4e31c

Observation 24f1f31b-8a92-4b7e-96f1-12a0e5477eae · outbound

This paper cites Hidden in Plain Text : Emergence & Mitigation of Steganographic Collusion in LLMs.

NEST: Nascent Encoded Steganographic Thoughts Hidden in Plain Text : Emergence & Mitigation of Steganographic Collusion in LLMs

Reference 21

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source=arxiv_source observed=2026-08-02T23:21:33.910878Z digest=sha256:c61d4efd8a65b28f0a24a157de6a8afad1ef7737d9d4636a2f1c47f31ad6aafa

Observation 3f1c18df-2586-4247-9423-11c6d445a1ef · outbound

This paper cites Can LLMs learn Steganographic Reasoning via RL ? URL https://www.lesswrong.com/posts/KRKnFdECZMu3Ej3z6/can-llms-learn-steganographic-reasoning-via-rl.

NEST: Nascent Encoded Steganographic Thoughts Can LLMs learn Steganographic Reasoning via RL ? URL https://www.lesswrong.com/posts/KRKnFdECZMu3Ej3z6/can-llms-learn-steganographic-reasoning-via-rl

Reference 22

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source=arxiv_source observed=2026-08-02T23:21:34.041113Z digest=sha256:175b85dd4adaf3daec9aa2fa1af12ae61107018e77f3e7a129410cec477c1a81

Observation 3f871a5a-e7cd-4a3e-8a64-89b62138c042 · outbound

This paper cites unfaithfulness.

NEST: Nascent Encoded Steganographic Thoughts unfaithfulness

Reference 23

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source=arxiv_source observed=2026-08-02T23:21:34.148885Z digest=sha256:e7eac8c04a479bdcba3f3bcea9ca6a5ab9edcfb80f9b79fe8a964b26694189f9

Observation 2a8f4608-34a8-4bd2-8191-e5ea817febc4 · outbound

This paper cites Secret Collusion among AI Agents: Multi-Agent Deception via Steganography.

NEST: Nascent Encoded Steganographic Thoughts Secret Collusion among AI Agents: Multi-Agent Deception via Steganography

Reference 24

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source=arxiv_source observed=2026-08-02T23:21:34.279426Z digest=sha256:51ce5e6533f02627e1eae9dd16908d27223608399eb37dc3e52b4c95425b3be0

Observation f01a3207-56e3-46db-8380-a4b26eca4a47 · outbound

This paper cites Let's Think Dot by Dot: Hidden Computation in Transformer Language Models.

NEST: Nascent Encoded Steganographic Thoughts Let's Think Dot by Dot: Hidden Computation in Transformer Language Models

Reference 25

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source=arxiv_source observed=2026-08-02T23:21:34.496686Z digest=sha256:70b9e40335cb9cfb62fdd69fede9e3c3e3ba18f1d51094ed8e5434651695713a

Observation e44efe7d-b33a-4efa-8dc5-28b910037acc · outbound

This paper cites Evaluating Frontier Models for Stealth and Situational Awareness.

NEST: Nascent Encoded Steganographic Thoughts Evaluating Frontier Models for Stealth and Situational Awareness

Reference 26

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source=arxiv_source observed=2026-08-02T23:21:34.565486Z digest=sha256:acb3075f8fa5280c2cd8cc7dd4acf1bd5fe556e640b03f6dbebf8bfc2bbd8326

Observation 93110209-2191-44c9-b86a-f3dc63ab4493 · outbound

This paper cites Training Qwen-1.

NEST: Nascent Encoded Steganographic Thoughts Training Qwen-1

Reference 27

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source=arxiv_source observed=2026-08-02T23:21:34.669048Z digest=sha256:0f8129e9a366e7776933a268b7affc788c843f47764b48b3957ec8fa253e511b

Observation 017c5271-bdd2-49d9-ba8e-d368958fabc5 · outbound

This paper cites Do reasoning models use their scratchpad like we do? Evidence from distilling paraphrases.

NEST: Nascent Encoded Steganographic Thoughts Do reasoning models use their scratchpad like we do? Evidence from distilling paraphrases

Reference 28

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source=arxiv_source observed=2026-08-02T23:21:34.746301Z digest=sha256:a7adf7870a14f37cb0aa0e933ad1bee9fd720ec0ad5b6906db872876fd5759ea

Observation 31473715-7579-4a78-a193-25785887d480 · outbound

This paper cites Large language models can learn and generalize steganographic chain-of-thought under process supervision.

NEST: Nascent Encoded Steganographic Thoughts Large language models can learn and generalize steganographic chain-of-thought under process supervision

Reference 29

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source=arxiv_source observed=2026-08-02T23:21:34.810855Z digest=sha256:7471d481a391fec115b6f9023af628c03ea1a6db4afb78c7b4dcb4ad44831b57

Observation d3c26e8e-6338-4b95-8647-da76f3584cca · outbound

This paper cites Language Models Don't Always Say What They Think: Unfaithful Explanations in Chain-of-Thought Prompting.

NEST: Nascent Encoded Steganographic Thoughts Language Models Don't Always Say What They Think: Unfaithful Explanations in Chain-of-Thought Prompting

Reference 30

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source=arxiv_source observed=2026-08-02T23:21:34.848214Z digest=sha256:f188e7bc06d0b0436c22e7b3363bab9eda6108999ea7fe15476a2a603b75abd4

Observation 26b4ad03-5296-4159-8110-c65375a65745 · outbound

This paper cites A comprehensive survey on linguistic steganography: Methods , countermeasures, evaluation, and challenges.

NEST: Nascent Encoded Steganographic Thoughts A comprehensive survey on linguistic steganography: Methods , countermeasures, evaluation, and challenges

Reference 31

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source=arxiv_source observed=2026-08-02T23:21:34.899049Z digest=sha256:e48223b6bd916c8496f08599d0fc6850171e5bb3ab405b0b4c5ae4444acb7bf1

Observation cc7449a8-e371-462b-b438-c99975fa8250 · outbound

This paper cites Zimmermann, and David Lindner.

NEST: Nascent Encoded Steganographic Thoughts Zimmermann, and David Lindner

Reference 32

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source=arxiv_source observed=2026-08-02T23:21:34.979224Z digest=sha256:0aca547e94279ae8f562f9684b8562aea133290a09b5071a9276a179c8d44c56

Observation 8864900d-c3c8-4a9d-ac5e-e6c1c5ac887f · outbound

This paper cites write newline.

NEST: Nascent Encoded Steganographic Thoughts write newline

Reference 33

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source=arxiv_source observed=2026-08-02T23:21:35.057849Z digest=sha256:6f548793e951d707d19d75d6fe5d7df425cdc73e4c7b9dce2cd5ae25a2a740f8

Observation 10e2314b-b1a1-498b-9eb7-bbbd3fd54ec7 · outbound

This paper cites @esa (Ref.

NEST: Nascent Encoded Steganographic Thoughts @esa (Ref

Reference 34

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source=arxiv_source observed=2026-08-02T23:21:35.128240Z digest=sha256:1a83487de19f602fd7a96603e20d1c95f26371c3fd093db6182a3fd6fbb51fd3

Observation 2aa2af89-8cab-4505-9fb0-9468a1e16088 · outbound

This paper cites an unresolved cited work.

NEST: Nascent Encoded Steganographic Thoughts Unresolved cited work

Reference 35

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source=arxiv_source observed=2026-08-02T23:21:35.205246Z digest=sha256:07ed33582bccbbe92cd69151669e9090d060e1923c1a5f18ee37e2dd9be59a7d

Observation 4ecf1dab-641d-4542-a0b9-a562496597cf · outbound

This paper cites an unresolved cited work.

NEST: Nascent Encoded Steganographic Thoughts Unresolved cited work

Reference 36

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source=arxiv_source observed=2026-08-02T23:21:35.299605Z digest=sha256:f021a6cd7b1e922973f3ea8ea8d67cde400943ef8e1ad133401ea810cc10b3cb

Pith citing papers

No inbound Pith citation observations are available.