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Paper Citation Record · LEDGER

Large Language Model Alignment: A Survey

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 43 inbound Pith citation observations for arXiv:2309.15025.

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

pith.paper-citation-record.v1
2309.15025 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 43 of 43 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 43 of 43 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T15:23:15.243924Z

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

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External citation measurements

34
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 fdc9eead-dcb0-4ad8-8ee6-dc86b3633562 · inbound

Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models cites this paper.

Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models Large Language Model Alignment: A Survey

Reference 136

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arxiv_id, observed 2026-05-13T13:43:11.201187Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-13T13:43:11.024069Z digest=sha256:a21025349366be2b46b6d9d2d47c5470013aa49fd8e1574a4b5926f8ab1ad5eb

Observation 2342b4b6-ecaf-46e5-9c34-abaefce96257 · inbound

A Survey on the Memory Mechanism of Large Language Model based Agents cites this paper.

A Survey on the Memory Mechanism of Large Language Model based Agents Large Language Model Alignment: A Survey

Reference 9

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arxiv_id, observed 2026-05-15T07:21:39.692052Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-15T07:21:39.440092Z digest=sha256:2cec5bc4db2053d8f24a20cbc2e41e22405c37fe83f5e082675877ed3414f5a0

Observation e37f0113-57e0-4bb6-ace0-10834997c01f · inbound

Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing cites this paper.

Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing Large Language Model Alignment: A Survey

Reference 52

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arxiv_id, observed 2026-05-16T06:58:36.776950Z

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source=arxiv_source observed=2026-05-16T06:58:36.684583Z digest=sha256:509f9aa0cc4c3ca641f9b9eb1e01c428299d1f8c956cad22bd40d3f7f32de65e

Observation 41fcf19b-658c-49bf-982d-2e16637257d8 · inbound

Harmful Fine-tuning Attacks and Defenses for Large Language Models: A Survey cites this paper.

Harmful Fine-tuning Attacks and Defenses for Large Language Models: A Survey Large Language Model Alignment: A Survey

Reference 134

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arxiv_id, observed 2026-05-23T20:58:25.820384Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-23T20:58:16.237327Z digest=sha256:5f1534d810519919ae866ccec1f424fecf2207f3b743ea10a72a6c1c76c17375

Observation 8c8a1d5f-9709-4074-a1c4-55aeb4bf129b · inbound

From Cool Demos to Production-Ready FMware: Core Challenges and a Technology Roadmap cites this paper.

From Cool Demos to Production-Ready FMware: Core Challenges and a Technology Roadmap Large Language Model Alignment: A Survey

Reference 93

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arxiv_id, observed 2026-05-23T19:08:20.884530Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-23T19:07:21.016824Z digest=sha256:0f5bbf3716fe67d1219fa379f0b35319bae53962f6f5b94a818b60e5d3b419ac

Observation fe711515-3d49-42e3-bdce-a5284b864f4d · inbound

MM-MoralBench: A MultiModal Moral Evaluation Benchmark for Large Vision-Language Models cites this paper.

MM-MoralBench: A MultiModal Moral Evaluation Benchmark for Large Vision-Language Models Large Language Model Alignment: A Survey

Reference 4

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arxiv_id, observed 2026-05-23T07:15:28.525234Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-23T07:14:27.786918Z digest=sha256:75c7ecc11aaa63959a298bc7ccb54f90cafe80b5e4077e889a12969e32515b93

Observation 2d51a28a-8f49-4702-a0ba-999217025c7c · inbound

The Capabilities and Limitations of Weak-to-Strong Generalization: Generalization and Calibration cites this paper.

The Capabilities and Limitations of Weak-to-Strong Generalization: Generalization and Calibration Large Language Model Alignment: A Survey

Reference 66

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source=arxiv_source observed=2026-08-09T15:23:15.243924Z digest=sha256:771fdea8372b3e302cdf2e44d8954b1c23a6cde9140643286d602ee2a5b6aa03

Observation b1382b44-4da8-47d2-af99-677305119dd0 · inbound

CAMI: A Counselor Agent Supporting Motivational Interviewing through State Inference and Topic Exploration cites this paper.

CAMI: A Counselor Agent Supporting Motivational Interviewing through State Inference and Topic Exploration Large Language Model Alignment: A Survey

Reference 5

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source=pdf_text observed=2026-08-09T11:06:02.023385Z digest=sha256:3f32fb4894d4d5960b1aa81be3f60fc6bf83387749240b10d8134abd745d7da3

Observation 260b8545-423c-4ec7-8daf-bb64944e758d · inbound

Salamandra Technical Report cites this paper.

Salamandra Technical Report Large Language Model Alignment: A Survey

Reference 181

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source=pdf_text observed=2026-08-08T04:58:34.211047Z digest=sha256:41f74dba91a95147f8de8485a90d6c49df1a495aec57f70d8911a965c2f330c8

Observation c20a349e-c7ab-4827-a5fa-fda86787c4fe · inbound

Large Language Model Agent: A Survey on Methodology, Applications and Challenges cites this paper.

Large Language Model Agent: A Survey on Methodology, Applications and Challenges Large Language Model Alignment: A Survey

Reference 261

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arxiv_id, observed 2026-05-22T21:52:10.514136Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-22T21:51:34.309870Z digest=sha256:aa5438238587c8ce930f37d718ae7ed6b03c8aa969b55bdaa4cec88a9961d589

Observation 5e59c711-700f-44cf-b5de-bb0b683911ad · inbound

Relative Bias: A Comparative Framework for Quantifying Bias in LLMs cites this paper.

Relative Bias: A Comparative Framework for Quantifying Bias in LLMs Large Language Model Alignment: A Survey

Reference 59

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source=pdf_text observed=2026-08-07T15:12:24.027242Z digest=sha256:39cf748fdb9a6305ddda9ab25a1c725bae43cf0cd2e6b1a12f092128f9ed9d6e

Observation 28e77fae-cec1-49ac-a3f9-c2c59c77bdfc · inbound

Position is Power: System Prompts as a Mechanism of Bias in Large Language Models (LLMs) cites this paper.

Position is Power: System Prompts as a Mechanism of Bias in Large Language Models (LLMs) Large Language Model Alignment: A Survey

Reference 78

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source=pdf_text observed=2026-08-07T13:43:12.553837Z digest=sha256:0eba11f02668babf6a78aa37cb79b576364b73223caecaac7a18b1dc7f841076

Observation 064c7b0a-be16-4a14-a087-b1232e817496 · inbound

Bridging Distribution Shift and AI Safety: Conceptual and Methodological Synergies cites this paper.

Bridging Distribution Shift and AI Safety: Conceptual and Methodological Synergies Large Language Model Alignment: A Survey

Reference 160

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no resolver link, observed 2026-08-07T13:05:33.288348Z

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source=pdf_text observed=2026-08-07T13:05:33.288348Z digest=sha256:2e2c3bbbecc796e2538c0711f55ee650fe6cc09a3c81b8ee524162bd3c0462ec

Observation f2b6e47e-684e-43cd-8f17-eb50bbac43dc · inbound

Disrupting Vision-Language Model-Driven Navigation Services via Adversarial Object Fusion cites this paper.

Disrupting Vision-Language Model-Driven Navigation Services via Adversarial Object Fusion Large Language Model Alignment: A Survey

Reference 46

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no resolver link, observed 2026-08-07T12:55:43.687467Z

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source=pdf_text observed=2026-08-07T12:55:43.687467Z digest=sha256:66d23d6c84ac49fd3c7a03db2c190ba7761bfeb4f40ac791c9370cec035379a6

Observation 45cac6e4-bee0-4ba4-a9e6-48d0e5f62e56 · inbound

Large Language Models for EEG: A Comprehensive Survey and Taxonomy cites this paper.

Large Language Models for EEG: A Comprehensive Survey and Taxonomy Large Language Model Alignment: A Survey

Reference 20

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no resolver link, observed 2026-08-07T11:30:52.361596Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:30:52.361596Z digest=sha256:cf6156cfa33c6d8fb333d7325e9ee91e0c475c282dbb0a9019722c4b83ade171

Observation eea26709-df0f-4b66-8e27-4e17d9d09457 · inbound

United Minds or Isolated Agents? Exploring Coordination of LLMs under Cognitive Load Theory cites this paper.

United Minds or Isolated Agents? Exploring Coordination of LLMs under Cognitive Load Theory Large Language Model Alignment: A Survey

Reference 2025

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no resolver link, observed 2026-08-07T05:53:56.443631Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:53:56.443631Z digest=sha256:be09958113917f27f79d1467ffc0879cdd7ecc23526671ed0a7fd636710bb413

Observation 1acd18e3-acd3-4563-a512-8dd2681c4072 · inbound

Multi-level Value Alignment in Agentic AI Systems: Survey and Perspectives cites this paper.

Multi-level Value Alignment in Agentic AI Systems: Survey and Perspectives Large Language Model Alignment: A Survey

Reference 11

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source=pdf_text observed=2026-08-07T04:46:04.131694Z digest=sha256:125c0b1b10bddb4b44304ceda8334c3287a95ef3435fd7c4ea05d6c50d37caca

Observation ae002b82-7429-49da-9e27-1c779c9196a1 · inbound

Understanding How University Guidelines Address Privacy and Security Issues of Generative AI in Academic Settings cites this paper.

Understanding How University Guidelines Address Privacy and Security Issues of Generative AI in Academic Settings Large Language Model Alignment: A Survey

Reference 75

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no resolver link, observed 2026-08-06T22:50:00.804426Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:50:00.804426Z digest=sha256:2d350c040bfff3dea8bb0651c4d03e51d1b6dae91975f5d564e81f00ef14f370

Observation f01e6608-2437-4333-beeb-fbfca31a74f5 · inbound

Beyond Reactive Safety: Risk-Aware LLM Alignment via Long-Horizon Simulation cites this paper.

Beyond Reactive Safety: Risk-Aware LLM Alignment via Long-Horizon Simulation Large Language Model Alignment: A Survey

Reference 28

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no resolver link, observed 2026-08-06T22:42:45.554111Z

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source=arxiv_source observed=2026-08-06T22:42:45.554111Z digest=sha256:7493ca512234a644009fe822d91134ec585a7fe60c25b3a8374857ac56a62bd0

Observation 3f695575-6ec3-4127-9248-885598f2b113 · inbound

Perspective Dial: Measuring Perspective of Text and Guiding LLM Outputs cites this paper.

Perspective Dial: Measuring Perspective of Text and Guiding LLM Outputs Large Language Model Alignment: A Survey

Reference 17

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no resolver link, observed 2026-08-06T21:47:41.223378Z

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source=pdf_text observed=2026-08-06T21:47:41.223378Z digest=sha256:0ee19132bb91342ce92f983e67f135ae1af70cba1fff8df43550ae8df21d34c8

Observation 2fb258db-6ee0-4e63-9372-bd8ad2b5053c · inbound

Is Reasoning All You Need? Probing Bias in the Age of Reasoning Language Models cites this paper.

Is Reasoning All You Need? Probing Bias in the Age of Reasoning Language Models Large Language Model Alignment: A Survey

Reference 14

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no resolver link, observed 2026-08-06T20:25:52.098458Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:25:52.098458Z digest=sha256:c07987cf781b906dca6dc71e81099522364a52ac0e2922287a8a0f57984d3e33

Observation 65189b11-ca14-4d88-a6e2-8eccd78c7420 · inbound

Re-Emergent Misalignment: How Narrow Fine-Tuning Erodes Safety Alignment in LLMs cites this paper.

Re-Emergent Misalignment: How Narrow Fine-Tuning Erodes Safety Alignment in LLMs Large Language Model Alignment: A Survey

Reference 20

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source=arxiv_source observed=2026-08-06T20:12:32.681144Z digest=sha256:ba4b67f59d2914a66866dc2df642b8a47ab4923e3a6f580094afcbb43f874c0d

Observation f7f6c85d-63e3-48c7-817c-802b866accaa · inbound

Bradley-Terry and Multi-Objective Reward Modeling Are Complementary cites this paper.

Bradley-Terry and Multi-Objective Reward Modeling Are Complementary Large Language Model Alignment: A Survey

Reference 11

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source=pdf_text observed=2026-08-06T18:51:27.506062Z digest=sha256:cc47cd1b008ba05a1768887840e8082ae1eece192cbea76cdbb812a8f6aa2f9f

Observation 10fb1e30-f5ab-4e6d-93d6-93b5124d2edb · inbound

CALMA: A Process for Deriving Context-aligned Axes for Language Model Alignment cites this paper.

CALMA: A Process for Deriving Context-aligned Axes for Language Model Alignment Large Language Model Alignment: A Survey

Reference 24

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source=arxiv_source observed=2026-08-06T18:10:18.023528Z digest=sha256:8800a1402229d4ea3137ae7ed5a94fd5692dc25dbb1da607bff87ef0e120f529

Observation f38d8449-7543-4162-a6cd-5a69b1cfbc7b · inbound

Distributed AI Agents for Cognitive Underwater Robot Autonomy cites this paper.

Distributed AI Agents for Cognitive Underwater Robot Autonomy Large Language Model Alignment: A Survey

Reference 11

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source=pdf_text observed=2026-08-06T10:29:56.090407Z digest=sha256:84cf92ba8a3ce1281644e8752a8e238608228646e9177774ce96e96b5acc21a4

Observation aeeb1091-878e-4a33-b734-4ff1c271b282 · inbound

A Survey on Training-free Alignment of Large Language Models cites this paper.

A Survey on Training-free Alignment of Large Language Models Large Language Model Alignment: A Survey

Reference 71

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source=arxiv_source observed=2026-08-05T21:18:46.397061Z digest=sha256:285edc31f1d0e8cfbe41228c1b3ea6793bf6b156e4e924c222a545c6882d751b

Observation c9acec0c-cf16-4719-93aa-1a12cdb16bed · inbound

A Comprehensive Evaluation framework of Alignment Techniques for LLMs cites this paper.

A Comprehensive Evaluation framework of Alignment Techniques for LLMs Large Language Model Alignment: A Survey

Reference 3

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no resolver link, observed 2026-08-05T20:43:17.914830Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T20:43:17.914830Z digest=sha256:f3e107fde60f9790f05c2f04e4b99b30475c7eeb31d8fd05823ed6d5ceaaeeba

Observation ee70d3b4-bd91-4745-9dfa-6b2da832f27b · inbound

EPT Benchmark: Evaluation of Persian Trustworthiness in Large Language Models cites this paper.

EPT Benchmark: Evaluation of Persian Trustworthiness in Large Language Models Large Language Model Alignment: A Survey

Reference 10

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source=pdf_text observed=2026-08-04T23:03:16.356148Z digest=sha256:feeb2fdb550aef92a56bc9251a3f006db59162ab54515947b43a673768a6b34c

Observation 4e8b61c0-0c8b-4831-af0b-c82385093b46 · inbound

Toward Preference-aligned Large Language Models via Residual-based Model Steering cites this paper.

Toward Preference-aligned Large Language Models via Residual-based Model Steering Large Language Model Alignment: A Survey

Reference 39

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no resolver link, observed 2026-08-04T14:43:18.824756Z

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source=arxiv_source observed=2026-08-04T14:43:18.824756Z digest=sha256:6e98d07633df3d5dd8029a7a0bc406fd2249ff4fa693c3c409bdc1f225695413

Observation 7df6a7ba-5ed1-4aae-a0bd-bf7125bf88f9 · inbound

Contrastive Weak-to-strong Generalization cites this paper.

Contrastive Weak-to-strong Generalization Large Language Model Alignment: A Survey

Reference 31

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T10:56:38.235961Z digest=sha256:72ced3363edba4d226a7198a79ccd8bad89b57d05ebd4ce60ca16448deb9213c

Observation 5f6db8cf-a25e-4ddc-9550-3d7035a4aecb · inbound

Your LLM Agents are Temporally Blind: The Misalignment Between Tool Use Decisions and Human Time Perception cites this paper.

Your LLM Agents are Temporally Blind: The Misalignment Between Tool Use Decisions and Human Time Perception Large Language Model Alignment: A Survey

Reference 33

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verified exact
arxiv_id, observed 2026-05-18T03:50:52.599518Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-18T03:46:03.228969Z digest=sha256:eeb5685c684053297eae8f77216b1458230626c092e673de285e968c1778c58a

Observation 49a6794c-6b8a-477f-8001-3bb4267ed22d · inbound

When the Same Coefficients Reach Different Places: Asymmetric Realizability in Transplanting Tokenizers across Large Language Models cites this paper.

When the Same Coefficients Reach Different Places: Asymmetric Realizability in Transplanting Tokenizers across Large Language Models Large Language Model Alignment: A Survey

Reference 2023

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T13:15:39.415550Z digest=sha256:ca7546816d11a0d834a95a3dc8e3bc6c4d41db2991c9ee6f7c0b11cd70da7425

Observation 317abafd-7709-486e-9266-0364cfd670bb · inbound

MARS: Margin and Semantic-Aware Data Augmentation for Reward Modeling cites this paper.

MARS: Margin and Semantic-Aware Data Augmentation for Reward Modeling Large Language Model Alignment: A Survey

Reference 36

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no resolver link, observed 2026-08-02T22:14:34.714340Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T22:14:34.714340Z digest=sha256:f7b4434a813c1be9c929c45e51269d334c392f95f0e39ba81cd01c0347e4bf7f

Observation 3fa04503-ef2d-4583-81f5-1610618be148 · inbound

The PICCO Framework for Large Language Model Prompting: A Taxonomy and Reference Architecture for Prompt Structure cites this paper.

The PICCO Framework for Large Language Model Prompting: A Taxonomy and Reference Architecture for Prompt Structure Large Language Model Alignment: A Survey

Reference 64

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arxiv_id, observed 2026-05-13T20:03:12.520220Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-13T20:00:19.061076Z digest=sha256:29f1b59a64630f04f7d25f7d9380ceea3990bff07fc94e890be3959f639ae0f5

Observation ea8a2a4d-6780-4d43-83a5-5f7a5b5eed39 · inbound

"I Don't Know" -- Towards Appropriate Trust with Certainty-Aware Retrieval Augmented Generation cites this paper.

"I Don't Know" -- Towards Appropriate Trust with Certainty-Aware Retrieval Augmented Generation Large Language Model Alignment: A Survey

Reference 41

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metadata mismatch
arxiv_id, observed 2026-05-11T16:11:11.574899Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-09T18:30:03.367870Z digest=sha256:d364d27b461213b5bd19a9607b839f6816f9b398911ca2327ce103603d41047a

Observation 295a9205-58a7-49c3-86d5-915c9e1ceec7 · inbound

On the Blessing of Pre-training in Weak-to-Strong Generalization cites this paper.

On the Blessing of Pre-training in Weak-to-Strong Generalization Large Language Model Alignment: A Survey

Reference 93

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metadata mismatch
arxiv_id, observed 2026-05-11T18:36:08.622014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-08T14:59:19.883399Z digest=sha256:2c0db1e5df0c86f95d461f80ad4082c255bc43ef28d5b625f0f57a1f12bf4771

Observation 87b82b0d-11f2-41f4-aeff-7f83fc0b0f7f · inbound

DVMap: Fine-Grained Pluralistic Value Alignment via High-Consensus Demographic-Value Mapping cites this paper.

DVMap: Fine-Grained Pluralistic Value Alignment via High-Consensus Demographic-Value Mapping Large Language Model Alignment: A Survey

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-05-15T02:08:29.528524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-15T02:05:28.096962Z digest=sha256:18a5ff311ea3ac06aac7e58617fc057fbe8698ca0cd3c8da08056912c3e97cb6

Observation 34f3e738-f086-4a72-8fcf-acf068fadf0a · inbound

Modeling Community Attitude through Reaction Tone: A Human-AI Collaborative Framework for Evaluating LLM Alignment with Linguistic Behaviors in Online Communities cites this paper.

Modeling Community Attitude through Reaction Tone: A Human-AI Collaborative Framework for Evaluating LLM Alignment with Linguistic Behaviors in Online Communities Large Language Model Alignment: A Survey

Reference 3

Resolution
unresolved
no resolver link, observed 2026-07-12T22:35:38.307667Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T22:35:38.307667Z digest=sha256:1e216dc5e1e636f71d71468ee7e46cd4f6e61a719fa99c7f98c3e673d972a9e7

Observation 439aef3d-438f-45b3-bead-40721fa97e73 · inbound

Fine-Tuning Vision-Language Models for Understanding Current Damage and Scoring Priority with Quality Guard Agent cites this paper.

Fine-Tuning Vision-Language Models for Understanding Current Damage and Scoring Priority with Quality Guard Agent Large Language Model Alignment: A Survey

Reference 50

Resolution
verified exact
arxiv_id, observed 2026-06-30T11:54:38.338077Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T11:50:35.271031Z digest=sha256:9e7fa0c905d2382b74a4fd78a43016df7e47af26c9ab999cef4fd8b7147c46a6

Observation f9a9348f-6a86-469c-b49a-301f4d53c7c1 · inbound

The Attentional White Bear Effect in Transformer Language Models cites this paper.

The Attentional White Bear Effect in Transformer Language Models Large Language Model Alignment: A Survey

Reference 9

Resolution
metadata mismatch
arxiv_id, observed 2026-06-29T12:53:27.023930Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-29T12:43:43.792334Z digest=sha256:ab3f95d09c8b00f044fe7a7dc56ac94b7152b4df64865dd1225069ad5881b170

Observation eadc69b7-24db-4fcf-8499-8335e0db6b36 · inbound

Beyond Value Benchmarks: Measuring Value-Structure Alignment in Large Language Models via Symmetric Q-Sorts cites this paper.

Beyond Value Benchmarks: Measuring Value-Structure Alignment in Large Language Models via Symmetric Q-Sorts Large Language Model Alignment: A Survey

Reference 73

Resolution
verified exact
arxiv_id, observed 2026-06-26T12:29:28.254249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-06-26T12:13:12.018506Z digest=sha256:30d7280340fbaac8d138265251146a569362111f2d05fdaf53465858b63ebb1f

Observation 79137a9e-e009-4d7c-b05b-5215595de2f6 · inbound

Tool Use Enables Undetectable Steganography in Multi-Agent LLM Systems cites this paper.

Tool Use Enables Undetectable Steganography in Multi-Agent LLM Systems Large Language Model Alignment: A Survey

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-07-01T16:15:50.227916Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-06-30T00:42:20.220668Z digest=sha256:206108167b80d9f02bd7e76975624f4e5ab87730c6b95046b457ae95fc750dab

Observation 87adbf94-f306-44fc-9404-d1b4b675ba58 · inbound

Multi-Agent Debate Strategies: Survey, Taxonomy, and Challenges cites this paper.

Multi-Agent Debate Strategies: Survey, Taxonomy, and Challenges Large Language Model Alignment: A Survey

Reference 106

Resolution
unresolved
no resolver link, observed 2026-08-01T00:32:33.979945Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T00:32:33.979945Z digest=sha256:76813f9de8338f5c1ef869a3e06585d11403ee2fbb88af8400ace30433db646d