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Paper Citation Record · LEDGER

A Six-Dimensional Taxonomy of Post-Training Adaptation Techniques with Applications in AI Governance

As of 7 August 2026, this Paper Citation Record lists 100 of 273 outbound references and 0 inbound Pith citation observations for arXiv:2608.06246.

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

pith.paper-citation-record.v1
2608.06246 v1

Coverage vector

measured 100 of 273 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:35:36.760567Z

measured 100 of 100 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

100 of 273 outbound references displayed

  • verified exact4
  • verified fuzzy0
  • unresolved91
  • parse uncertain0
  • malformed identifier5
  • metadata mismatch0

External citation measurements

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Outbound references

Observation 1473ddab-473d-4c7e-90c4-57d1bd9c0320 · outbound

This paper cites an unresolved cited work.

A Six-Dimensional Taxonomy of Post-Training Adaptation Techniques with Applications in AI Governance Unresolved cited work

Reference 1

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Observation 26b54cb1-68d7-4ea9-a4a6-031f16666382 · outbound

This paper cites NIST AI 100-1 – Artificial Intelligence Risk Management Framework (AI RMF 1.0).National Institute of Standards and Technology, U.S.

A Six-Dimensional Taxonomy of Post-Training Adaptation Techniques with Applications in AI Governance NIST AI 100-1 – Artificial Intelligence Risk Management Framework (AI RMF 1.0).National Institute of Standards and Technology, U.S

Reference 2

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Observation e1aafd75-60e7-473a-ac51-da07d570f094 · outbound

This paper cites an unresolved cited work.

A Six-Dimensional Taxonomy of Post-Training Adaptation Techniques with Applications in AI Governance Unresolved cited work

Reference 3

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Observation e55be076-7827-40f1-9dc9-88b76fbac815 · outbound

This paper cites Context Engineering - LLM Memory and Retrieval for AI Agents | Weaviate.

A Six-Dimensional Taxonomy of Post-Training Adaptation Techniques with Applications in AI Governance Context Engineering - LLM Memory and Retrieval for AI Agents | Weaviate

Reference 4

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Observation 852ba099-4f82-4199-902d-32a3585f3c13 · outbound

This paper cites Context Engineering Guide: Techniques for AI Agents | LlamaIndex.

A Six-Dimensional Taxonomy of Post-Training Adaptation Techniques with Applications in AI Governance Context Engineering Guide: Techniques for AI Agents | LlamaIndex

Reference 5

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Observation 23b0130c-cdd5-424b-8778-475157cb5b00 · outbound

This paper cites Context engineering: Why it’s Replacing Prompt Engineering for Enterprise AI Success.

A Six-Dimensional Taxonomy of Post-Training Adaptation Techniques with Applications in AI Governance Context engineering: Why it’s Replacing Prompt Engineering for Enterprise AI Success

Reference 6

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source=pdf_text observed=2026-08-07T11:35:27.856218Z digest=sha256:5b63c58840a84dd2882f7b3b0abad2e770f7d58cf0cb7d7c88ba48c60f746109

Observation 3876c1ad-03a9-4e59-9789-92f3ce2bc0b5 · outbound

This paper cites Effective context engineering for AI agents.

A Six-Dimensional Taxonomy of Post-Training Adaptation Techniques with Applications in AI Governance Effective context engineering for AI agents

Reference 7

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Observation 2830fc3c-5f9c-4414-be49-3860a27c728d · outbound

This paper cites Lead the Shift to Context Engineering as Prompt Engineering Fades.

A Six-Dimensional Taxonomy of Post-Training Adaptation Techniques with Applications in AI Governance Lead the Shift to Context Engineering as Prompt Engineering Fades

Reference 8

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Observation 1eb646e5-1a61-462c-a3ad-84f588d9f4ef · outbound

This paper cites arcee-ai/mergekit.

A Six-Dimensional Taxonomy of Post-Training Adaptation Techniques with Applications in AI Governance arcee-ai/mergekit

Reference 9

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source=pdf_text observed=2026-08-07T11:35:28.180574Z digest=sha256:1264af7f91a95a9c7e15f808eefeab1a980e98595b06023a46285135122f116d

Observation 802326cc-cd3e-4c3b-b5e8-647dd32bcceb · outbound

This paper cites modelscope/ms-swift.

A Six-Dimensional Taxonomy of Post-Training Adaptation Techniques with Applications in AI Governance modelscope/ms-swift

Reference 10

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Observation a93ffa7e-dbd9-4161-9589-deee8b13337e · outbound

This paper cites PEFT·Hugging Face.

A Six-Dimensional Taxonomy of Post-Training Adaptation Techniques with Applications in AI Governance PEFT·Hugging Face

Reference 11

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Observation 2172fa4b-0109-4b82-a75c-91c76aa0e9f1 · outbound

This paper cites TRL - Transformers Reinforcement Learning·Hugging Face.

A Six-Dimensional Taxonomy of Post-Training Adaptation Techniques with Applications in AI Governance TRL - Transformers Reinforcement Learning·Hugging Face

Reference 12

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Observation 25aa38ae-f142-4f7e-922e-25c5a7244b70 · outbound

This paper cites zjunlp/EasyEdit.

A Six-Dimensional Taxonomy of Post-Training Adaptation Techniques with Applications in AI Governance zjunlp/EasyEdit

Reference 13

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Observation d7a3975f-5dc0-481b-b9d3-f56f1735fc6a · outbound

This paper cites an unresolved cited work.

A Six-Dimensional Taxonomy of Post-Training Adaptation Techniques with Applications in AI Governance Unresolved cited work

Reference 14

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Observation 46dede09-49ee-4205-9a0e-5ac488d6ce89 · outbound

This paper cites an unresolved cited work.

A Six-Dimensional Taxonomy of Post-Training Adaptation Techniques with Applications in AI Governance Unresolved cited work

Reference 15

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source=pdf_text observed=2026-08-07T11:35:28.761674Z digest=sha256:467df3310e2f3e39c91ad1faf257910c456fe3b8299bfaab42f8988a9e4b8054

Observation f69f908f-cb60-4561-98de-539bfba0bffc · outbound

This paper cites Understanding intermediate layers using linear classifier probes.

A Six-Dimensional Taxonomy of Post-Training Adaptation Techniques with Applications in AI Governance Understanding intermediate layers using linear classifier probes

Reference 16

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source=pdf_text observed=2026-08-07T11:35:28.843176Z digest=sha256:18c8df59de3c2c0dc1d398e65abcf3756f7dc93d5073a60b3f4e0ec1e27cd1bc

Observation 5f977048-7bcc-40d8-9567-9ad584c922c7 · outbound

This paper cites context engineering.

A Six-Dimensional Taxonomy of Post-Training Adaptation Techniques with Applications in AI Governance context engineering

Reference 17

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Observation f67238ae-b775-4f8f-87f8-c2490c83c3b3 · outbound

This paper cites an unresolved cited work.

A Six-Dimensional Taxonomy of Post-Training Adaptation Techniques with Applications in AI Governance Unresolved cited work

Reference 18

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Observation a91a2d45-9f3b-4987-bb22-4ba22fe62e54 · outbound

This paper cites an unresolved cited work.

A Six-Dimensional Taxonomy of Post-Training Adaptation Techniques with Applications in AI Governance Unresolved cited work

Reference 19

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Observation b8b423ea-b6cb-470a-a76f-54ce9ae0cc5b · outbound

This paper cites an unresolved cited work.

A Six-Dimensional Taxonomy of Post-Training Adaptation Techniques with Applications in AI Governance Unresolved cited work

Reference 20

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Observation 3f3364cb-c42d-40be-a0c4-d1300957d10c · outbound

This paper cites Detecting Concept Drift in Neural Networks Using Chi-squared Goodness of Fit Testing.

A Six-Dimensional Taxonomy of Post-Training Adaptation Techniques with Applications in AI Governance Detecting Concept Drift in Neural Networks Using Chi-squared Goodness of Fit Testing

Reference 21

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Observation 64affb3d-801f-457c-8b99-a47e0bcc2d07 · outbound

This paper cites an unresolved cited work.

A Six-Dimensional Taxonomy of Post-Training Adaptation Techniques with Applications in AI Governance Unresolved cited work

Reference 22

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Observation a71661b7-ecf0-400c-b999-959740e1e418 · outbound

This paper cites Constitutional AI: Harmlessness from AI Feedback.

A Six-Dimensional Taxonomy of Post-Training Adaptation Techniques with Applications in AI Governance Constitutional AI: Harmlessness from AI Feedback

Reference 23

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Observation 045d8e9d-9f07-4e16-a069-1f2831008a82 · outbound

This paper cites an unresolved cited work.

A Six-Dimensional Taxonomy of Post-Training Adaptation Techniques with Applications in AI Governance Unresolved cited work

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Observation 009642ae-fe57-4cca-8ab5-42a5f8352b1d · outbound

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A Six-Dimensional Taxonomy of Post-Training Adaptation Techniques with Applications in AI Governance Unresolved cited work

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Observation f74eb7e2-8f6b-432a-aa50-f28b3a974019 · outbound

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A Six-Dimensional Taxonomy of Post-Training Adaptation Techniques with Applications in AI Governance Unresolved cited work

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Observation 6dc649d5-2c9e-4190-bb73-1d4f1c817630 · outbound

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A Six-Dimensional Taxonomy of Post-Training Adaptation Techniques with Applications in AI Governance Unresolved cited work

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Observation 5fff7a15-5a9b-409f-beb1-f0485d589cd3 · outbound

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A Six-Dimensional Taxonomy of Post-Training Adaptation Techniques with Applications in AI Governance Unresolved cited work

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Observation a1fe8a5e-4118-4e77-94d7-5e36e8e63a7e · outbound

This paper cites Towards Stable Machine Learning Model Retraining via Slowly Varying Sequences.

A Six-Dimensional Taxonomy of Post-Training Adaptation Techniques with Applications in AI Governance Towards Stable Machine Learning Model Retraining via Slowly Varying Sequences

Reference 29

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Observation cda47977-ae69-4a96-adf6-d86650b2e490 · outbound

This paper cites an unresolved cited work.

A Six-Dimensional Taxonomy of Post-Training Adaptation Techniques with Applications in AI Governance Unresolved cited work

Reference 30

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Observation c73fc525-ddbd-4f81-a7af-b1d6daa1633a · outbound

This paper cites On the Opportunities and Risks of Foundation Models.

A Six-Dimensional Taxonomy of Post-Training Adaptation Techniques with Applications in AI Governance On the Opportunities and Risks of Foundation Models

Reference 31

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Observation f26ccfbd-70ae-4a6d-a4d1-20347ab3d718 · outbound

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A Six-Dimensional Taxonomy of Post-Training Adaptation Techniques with Applications in AI Governance Unresolved cited work

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Observation 898149d8-4474-405f-b06d-47bf96cbbf81 · outbound

This paper cites Choquette-Choo, Hengrui Jia, Adelin Travers, Baiwu Zhang, David Lie, and Nicolas Papernot.

A Six-Dimensional Taxonomy of Post-Training Adaptation Techniques with Applications in AI Governance Choquette-Choo, Hengrui Jia, Adelin Travers, Baiwu Zhang, David Lie, and Nicolas Papernot

Reference 33

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Observation 07e1eff4-d646-4785-a9eb-7486614854c8 · outbound

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A Six-Dimensional Taxonomy of Post-Training Adaptation Techniques with Applications in AI Governance Unresolved cited work

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Observation 144d78fb-a9d1-45c9-9a37-d1d5f873789a · outbound

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A Six-Dimensional Taxonomy of Post-Training Adaptation Techniques with Applications in AI Governance Buehler and Markus J

Reference 35

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Observation ba2c559a-c7f2-437d-8d7f-492c36358e97 · outbound

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A Six-Dimensional Taxonomy of Post-Training Adaptation Techniques with Applications in AI Governance Unresolved cited work

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Observation a3455956-31a2-4fdf-a5f6-dda9858bbbc2 · outbound

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A Six-Dimensional Taxonomy of Post-Training Adaptation Techniques with Applications in AI Governance Unresolved cited work

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Observation 07fad34e-4280-41f0-b1db-76fcf5f66c32 · outbound

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A Six-Dimensional Taxonomy of Post-Training Adaptation Techniques with Applications in AI Governance Unresolved cited work

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source=pdf_text observed=2026-08-07T11:35:30.795255Z digest=sha256:1c24e87a8881ed8f23e6325539965ab38984c5eae5d0e769ef6352ecc6287344

Observation 95a96e03-fc70-40b7-a69b-df1d91009631 · outbound

This paper cites an unresolved cited work.

A Six-Dimensional Taxonomy of Post-Training Adaptation Techniques with Applications in AI Governance Unresolved cited work

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Observation f14332d1-25b4-468f-a400-a4afa1fef6e3 · outbound

This paper cites Extending Context Window of Large Language Models via Positional Interpolation.

A Six-Dimensional Taxonomy of Post-Training Adaptation Techniques with Applications in AI Governance Extending Context Window of Large Language Models via Positional Interpolation

Reference 40

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Observation 9fab1d10-199c-4da8-97da-151226c333cd · outbound

This paper cites an unresolved cited work.

A Six-Dimensional Taxonomy of Post-Training Adaptation Techniques with Applications in AI Governance Unresolved cited work

Reference 41

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Observation 7424fdfb-1f6e-476b-9523-1ff83d754e66 · outbound

This paper cites an unresolved cited work.

A Six-Dimensional Taxonomy of Post-Training Adaptation Techniques with Applications in AI Governance Unresolved cited work

Reference 42

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source=pdf_text observed=2026-08-07T11:35:31.217537Z digest=sha256:4499bdee6fbd61c8b14d1827f7715904f70a21a5d9203385f944a2d83ce7446e

Observation b8f86da7-9133-412a-a99e-b5ca192b74ec · outbound

This paper cites Christiano, Jan Leike, Tom B.

A Six-Dimensional Taxonomy of Post-Training Adaptation Techniques with Applications in AI Governance Christiano, Jan Leike, Tom B

Reference 43

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source=pdf_text observed=2026-08-07T11:35:31.298149Z digest=sha256:e8f9c31232c8bdb2ff69c2b65fa065a8ca4ef1af0de76181e6c6544c87524cde

Observation 7f1486db-6e85-4006-9264-96ad809a89b6 · outbound

This paper cites Collins, Karel G.

A Six-Dimensional Taxonomy of Post-Training Adaptation Techniques with Applications in AI Governance Collins, Karel G

Reference 44

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source=pdf_text observed=2026-08-07T11:35:31.373145Z digest=sha256:86f9c0b7bb9473e0d3a09a17f318c9b9f70a9e2b8549a36f5fb3ea602c16913e

Observation 6ce9d307-6f7b-4023-8b54-010a4560a7d6 · outbound

This paper cites Cubuk, Barret Zoph, Dandelion Mané, Vijay Vasudevan, and Quoc V.

A Six-Dimensional Taxonomy of Post-Training Adaptation Techniques with Applications in AI Governance Cubuk, Barret Zoph, Dandelion Mané, Vijay Vasudevan, and Quoc V

Reference 45

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Observation e8c72c94-ab1a-4e46-a5c5-7b87ce07368c · outbound

This paper cites Sparse Autoencoders Find Highly Interpretable Features in Language Models.

A Six-Dimensional Taxonomy of Post-Training Adaptation Techniques with Applications in AI Governance Sparse Autoencoders Find Highly Interpretable Features in Language Models

Reference 46

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Observation 4d838b46-b102-4b45-a9ba-8de5fbe8f302 · outbound

This paper cites an unresolved cited work.

A Six-Dimensional Taxonomy of Post-Training Adaptation Techniques with Applications in AI Governance Unresolved cited work

Reference 47

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Observation 7c8aa2db-c2cb-421a-9cda-c011be8936ef · outbound

This paper cites an unresolved cited work.

A Six-Dimensional Taxonomy of Post-Training Adaptation Techniques with Applications in AI Governance Unresolved cited work

Reference 48

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Observation b7440523-dfa3-4b6b-9d67-99ee545568bb · outbound

This paper cites an unresolved cited work.

A Six-Dimensional Taxonomy of Post-Training Adaptation Techniques with Applications in AI Governance Unresolved cited work

Reference 49

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source=pdf_text observed=2026-08-07T11:35:31.829171Z digest=sha256:da4912260919845ac59a0de3c51338c58f6f0a3e08c14d755b84ec6bfa6a781e

Observation 54a3f659-d6cf-4338-8820-54769f919e87 · outbound

This paper cites an unresolved cited work.

A Six-Dimensional Taxonomy of Post-Training Adaptation Techniques with Applications in AI Governance Unresolved cited work

Reference 50

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source=pdf_text observed=2026-08-07T11:35:31.900468Z digest=sha256:73a7c008339d0a7847a0fd30995de9d64e037773c54eb66a97dc1538fcb61080

Observation 929c7c31-cbe1-40ae-9177-ae8b1cf2c6c5 · outbound

This paper cites DELLA-Merging: Reducing Interference in Model Merging through Magnitude-Based Sampling.

A Six-Dimensional Taxonomy of Post-Training Adaptation Techniques with Applications in AI Governance DELLA-Merging: Reducing Interference in Model Merging through Magnitude-Based Sampling

Reference 51

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Observation 338f32e6-078f-4f56-860f-86464442a6a8 · outbound

This paper cites an unresolved cited work.

A Six-Dimensional Taxonomy of Post-Training Adaptation Techniques with Applications in AI Governance Unresolved cited work

Reference 52

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source=pdf_text observed=2026-08-07T11:35:32.029213Z digest=sha256:8b0df3a1762a165c27c08bf7ba013ec12b21ff92d8662a0d78695ed189dbe4ed

Observation 4d31d415-7731-476d-ae8e-72669e9da1d5 · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

A Six-Dimensional Taxonomy of Post-Training Adaptation Techniques with Applications in AI Governance BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 53

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Observation ad9e26c6-d108-44ac-8b33-1b0e68ae8d17 · outbound

This paper cites RAFT: Reward rAnked FineTuning for Generative Foundation Model Alignment.

A Six-Dimensional Taxonomy of Post-Training Adaptation Techniques with Applications in AI Governance RAFT: Reward rAnked FineTuning for Generative Foundation Model Alignment

Reference 54

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source=pdf_text observed=2026-08-07T11:35:32.208432Z digest=sha256:90a7e7ee9a821b8a1d486fcfe3a8a1b6ee52b3ef0c09e97c435b63150181b2c3

Observation 3f84aac8-34a2-446e-addf-c7b59cf65aa0 · outbound

This paper cites an unresolved cited work.

A Six-Dimensional Taxonomy of Post-Training Adaptation Techniques with Applications in AI Governance Unresolved cited work

Reference 55

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source=pdf_text observed=2026-08-07T11:35:32.300979Z digest=sha256:579180392a2f959fc9ce5bb3b3bb2382edd1f75b8cc94647c2c59ac65dbf0963

Observation ef6f0c9d-9ecf-4a89-ab6f-3e6dd357cbcc · outbound

This paper cites an unresolved cited work.

A Six-Dimensional Taxonomy of Post-Training Adaptation Techniques with Applications in AI Governance Unresolved cited work

Reference 56

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source=pdf_text observed=2026-08-07T11:35:32.412229Z digest=sha256:e729bc505b0d4feec76c3e2e2074a530c0ac8d04f3f713cfc7a8b873dfdba23d

Observation 047dc548-daf2-4956-b478-4d642a2ac055 · outbound

This paper cites From Local to Global: A Graph RAG Approach to Query-Focused Summarization.

A Six-Dimensional Taxonomy of Post-Training Adaptation Techniques with Applications in AI Governance From Local to Global: A Graph RAG Approach to Query-Focused Summarization

Reference 57

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source=pdf_text observed=2026-08-07T11:35:32.490404Z digest=sha256:0bdd4b8a49c4fb817fc701a48232cc4ac6245b06f8e2ab424566366c0e78724b

Observation 8881dbac-f509-4fc3-b92a-2ce6959543f9 · outbound

This paper cites an unresolved cited work.

A Six-Dimensional Taxonomy of Post-Training Adaptation Techniques with Applications in AI Governance Unresolved cited work

Reference 58

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source=pdf_text observed=2026-08-07T11:35:32.618634Z digest=sha256:d91a8273fd83684959dc885cbb3183e88624b534b9e1407d6f0480f796a59153

Observation faf0893d-4863-48de-b9e6-f87ae67c2cb4 · outbound

This paper cites an unresolved cited work.

A Six-Dimensional Taxonomy of Post-Training Adaptation Techniques with Applications in AI Governance Unresolved cited work

Reference 59

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Observation 9e1d6625-3b26-41c9-961d-c5041e170e9a · outbound

This paper cites an unresolved cited work.

A Six-Dimensional Taxonomy of Post-Training Adaptation Techniques with Applications in AI Governance Unresolved cited work

Reference 60

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source=pdf_text observed=2026-08-07T11:35:32.823604Z digest=sha256:fbf9de3771086dd46ef21088f48f65c489cc722052353788deb3557384dba526

Observation cd9e0118-f947-4784-bf7b-41418b0c3be7 · outbound

This paper cites an unresolved cited work.

A Six-Dimensional Taxonomy of Post-Training Adaptation Techniques with Applications in AI Governance Unresolved cited work

Reference 61

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source=pdf_text observed=2026-08-07T11:35:32.879977Z digest=sha256:2f65b00fe1a56d24e61e73a35fa94476d1b98343d7cc037a9c46beefb12add6a

Observation cd408420-2465-4afb-8d17-169a54dffd9d · outbound

This paper cites Feng, Varun Gangal, Jason Wei, Sarath Chandar, Soroush Vosoughi, Teruko Mitamura, and Eduard Hovy.

A Six-Dimensional Taxonomy of Post-Training Adaptation Techniques with Applications in AI Governance Feng, Varun Gangal, Jason Wei, Sarath Chandar, Soroush Vosoughi, Teruko Mitamura, and Eduard Hovy

Reference 62

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source=pdf_text observed=2026-08-07T11:35:32.997586Z digest=sha256:56551cfa6ef313eb70729f315dfc3d5f661ba95a98f776e2d126a5dfb3d50ae9

Observation 89ffdb44-95e1-4e4f-b9a7-6e3a98916fd7 · outbound

This paper cites an unresolved cited work.

A Six-Dimensional Taxonomy of Post-Training Adaptation Techniques with Applications in AI Governance Unresolved cited work

Reference 63

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source=pdf_text observed=2026-08-07T11:35:33.155688Z digest=sha256:390325e3cef507d73d897a429da04b6361637535564ac6a490205425a889ae6f

Observation 7ad4d206-5935-445f-acc5-2167fc33417f · outbound

This paper cites GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers.

A Six-Dimensional Taxonomy of Post-Training Adaptation Techniques with Applications in AI Governance GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers

Reference 64

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source=pdf_text observed=2026-08-07T11:35:33.225742Z digest=sha256:45f35156101a631c598535957e2b9e96e49cb216c94651c112766731ecf8fa4e

Observation f530a6ea-f1eb-447f-b92a-d4c042de7465 · outbound

This paper cites an unresolved cited work.

A Six-Dimensional Taxonomy of Post-Training Adaptation Techniques with Applications in AI Governance Unresolved cited work

Reference 65

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source=pdf_text observed=2026-08-07T11:35:33.297846Z digest=sha256:69e2cc7edaf84d4f8d58e61c79b2e0821f77200cc2fdd73ee44b158f98513056

Observation 0b88c8f1-5285-416a-aaa9-808475cd6c19 · outbound

This paper cites an unresolved cited work.

A Six-Dimensional Taxonomy of Post-Training Adaptation Techniques with Applications in AI Governance Unresolved cited work

Reference 66

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source=pdf_text observed=2026-08-07T11:35:33.396385Z digest=sha256:2df5cd8ff596427ed7c581c4ef3683f02fa55c6e093a755c9096730b3b46e061

Observation c91dbda2-5628-472a-9151-b8c1ec827460 · outbound

This paper cites Retrieval-Augmented Generation for Large Language Models: A Survey.

A Six-Dimensional Taxonomy of Post-Training Adaptation Techniques with Applications in AI Governance Retrieval-Augmented Generation for Large Language Models: A Survey

Reference 67

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Observation 0753b508-06be-4e66-99fa-d1fc5a68cae8 · outbound

This paper cites an unresolved cited work.

A Six-Dimensional Taxonomy of Post-Training Adaptation Techniques with Applications in AI Governance Unresolved cited work

Reference 68

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source=pdf_text observed=2026-08-07T11:35:33.531363Z digest=sha256:3009ab095d8264e909ee2c97513a0c6afdc675c57c081e81f9af0cdac5835d95

Observation 7a858b59-2efd-4779-922f-56bd779cfb3c · outbound

This paper cites an unresolved cited work.

A Six-Dimensional Taxonomy of Post-Training Adaptation Techniques with Applications in AI Governance Unresolved cited work

Reference 69

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source=pdf_text observed=2026-08-07T11:35:33.602568Z digest=sha256:52d267e809aae3865f656e58ed7474c9a88eca6fae5fffa0e98ebe0694ebcc09

Observation a347a971-8d5e-4dcb-a8ba-57e518ecdd3e · outbound

This paper cites an unresolved cited work.

A Six-Dimensional Taxonomy of Post-Training Adaptation Techniques with Applications in AI Governance Unresolved cited work

Reference 70

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source=pdf_text observed=2026-08-07T11:35:33.693654Z digest=sha256:330fda2c246d6612df29ce4ae368e0e02d47e8633449222ec399d780aaaa0a93

Observation 818317ed-2c29-4103-ace1-ffcee6260f1d · outbound

This paper cites an unresolved cited work.

A Six-Dimensional Taxonomy of Post-Training Adaptation Techniques with Applications in AI Governance Unresolved cited work

Reference 71

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source=pdf_text observed=2026-08-07T11:35:33.849182Z digest=sha256:c4b162ca4227ca6e94b34ec457541f017119150cfb6a0b15ed4f13386fedb600

Observation 9f703b18-9c38-4338-9453-d1745d3063a4 · outbound

This paper cites Maybank, and Dacheng Tao.

A Six-Dimensional Taxonomy of Post-Training Adaptation Techniques with Applications in AI Governance Maybank, and Dacheng Tao

Reference 72

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source=pdf_text observed=2026-08-07T11:35:33.903205Z digest=sha256:3c50639d34a83162edc9ada7c1e2e0d6842bbe97a2314af22fb11d2593434ba2

Observation f2f18f6a-7301-431e-abd7-1fd7d2e3fb1f · outbound

This paper cites 2021), e30545.

A Six-Dimensional Taxonomy of Post-Training Adaptation Techniques with Applications in AI Governance 2021), e30545

Reference 73

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source=pdf_text observed=2026-08-07T11:35:33.772317Z digest=sha256:61e8e9dcdb2a85c4b78dbf97c29ebdd8240dc6d1cf79700f4268a3e2cdd0721b

Observation aa887f8b-dd77-4ecc-a13f-9c439cd8c748 · outbound

This paper cites an unresolved cited work.

A Six-Dimensional Taxonomy of Post-Training Adaptation Techniques with Applications in AI Governance Unresolved cited work

Reference 74

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source=pdf_text observed=2026-08-07T11:35:34.015521Z digest=sha256:35aed2206c75c022d6361673c9f55dea44b903f829fc3595abefb83b1c181c94

Observation f773b9ee-835a-44fb-b32d-2f48f1315975 · outbound

This paper cites an unresolved cited work.

A Six-Dimensional Taxonomy of Post-Training Adaptation Techniques with Applications in AI Governance Unresolved cited work

Reference 75

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source=pdf_text observed=2026-08-07T11:35:34.100430Z digest=sha256:8bb74425068b80aae911465e505b6174f97de4b455758149b8aad03aeae57ebe

Observation 0313e1ba-b806-485b-82d7-6520b627985e · outbound

This paper cites Weinberger.

A Six-Dimensional Taxonomy of Post-Training Adaptation Techniques with Applications in AI Governance Weinberger

Reference 76

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source=pdf_text observed=2026-08-07T11:35:33.960184Z digest=sha256:5b7f3e4c255d5e2d0c336aaf1456b62b35b09bf93fbbb8d2b88c6edfc689cde9

Observation 11e98b94-8628-4805-a832-5e9288265d9e · outbound

This paper cites an unresolved cited work.

A Six-Dimensional Taxonomy of Post-Training Adaptation Techniques with Applications in AI Governance Unresolved cited work

Reference 77

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source=pdf_text observed=2026-08-07T11:35:34.240228Z digest=sha256:4ce56ae8b3d40e39970d4bff121bd593c881ff747f55963538039cb9531a7294

Observation ea4b0ce1-c900-4656-bc97-2bf7a56028c9 · outbound

This paper cites an unresolved cited work.

A Six-Dimensional Taxonomy of Post-Training Adaptation Techniques with Applications in AI Governance Unresolved cited work

Reference 78

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source=pdf_text observed=2026-08-07T11:35:34.381493Z digest=sha256:f6b320e06998ecbb4472700eb2530621ca20aaf913bbd74b7b76619bbffffaec

Observation 9f6341a9-eb19-40de-b4c3-464772e79b1d · outbound

This paper cites an unresolved cited work.

A Six-Dimensional Taxonomy of Post-Training Adaptation Techniques with Applications in AI Governance Unresolved cited work

Reference 79

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Observation 1f22362b-cb49-43e0-a5a6-6c67c916e886 · outbound

This paper cites Dual Decomposition of Weights and Singular Value Low Rank Adaptation.

A Six-Dimensional Taxonomy of Post-Training Adaptation Techniques with Applications in AI Governance Dual Decomposition of Weights and Singular Value Low Rank Adaptation

Reference 80

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Observation 759faac4-3630-4b99-8cf0-91e9ca1b7979 · outbound

This paper cites Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding.

A Six-Dimensional Taxonomy of Post-Training Adaptation Techniques with Applications in AI Governance Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding

Reference 81

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Observation 6702c2d7-0aa9-40bb-8834-3c30f451b05d · outbound

This paper cites Towards Data Governance of Frontier AI Models.

A Six-Dimensional Taxonomy of Post-Training Adaptation Techniques with Applications in AI Governance Towards Data Governance of Frontier AI Models

Reference 82

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Observation 79e58606-8c80-40cd-a7c4-a088e78e81c6 · outbound

This paper cites an unresolved cited work.

A Six-Dimensional Taxonomy of Post-Training Adaptation Techniques with Applications in AI Governance Unresolved cited work

Reference 83

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Observation 906a3be6-506b-41ed-a984-95ff77647637 · outbound

This paper cites Distilling the Knowledge in a Neural Network.

A Six-Dimensional Taxonomy of Post-Training Adaptation Techniques with Applications in AI Governance Distilling the Knowledge in a Neural Network

Reference 84

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Observation 0e8a09de-a02c-4a68-a08a-703f74e52714 · outbound

This paper cites an unresolved cited work.

A Six-Dimensional Taxonomy of Post-Training Adaptation Techniques with Applications in AI Governance Unresolved cited work

Reference 85

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Observation ed45cda9-d535-43c8-adde-1cc5c66b5c2c · outbound

This paper cites an unresolved cited work.

A Six-Dimensional Taxonomy of Post-Training Adaptation Techniques with Applications in AI Governance Unresolved cited work

Reference 86

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Observation 087fab57-8778-49b9-8444-6e292d932413 · outbound

This paper cites an unresolved cited work.

A Six-Dimensional Taxonomy of Post-Training Adaptation Techniques with Applications in AI Governance Unresolved cited work

Reference 87

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Observation 395f8043-cb25-41cb-82d2-450b19828d3c · outbound

This paper cites an unresolved cited work.

A Six-Dimensional Taxonomy of Post-Training Adaptation Techniques with Applications in AI Governance Unresolved cited work

Reference 88

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source=pdf_text observed=2026-08-07T11:35:35.182129Z digest=sha256:8e352ec217285896f7f6e6a90546ad612622d7e5590bac0d426f6aef79f5957f

Observation 3374f6f6-fd45-4dbd-a415-45724d1f774f · outbound

This paper cites an unresolved cited work.

A Six-Dimensional Taxonomy of Post-Training Adaptation Techniques with Applications in AI Governance Unresolved cited work

Reference 89

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source=pdf_text observed=2026-08-07T11:35:35.264230Z digest=sha256:ff5be26b4e6623027de109a19e56831f33ddd7d59bdf4e60dd91d57dd8d9ffc6

Observation 7ed7cbd5-01ab-4a00-b99f-7932360ba4e7 · outbound

This paper cites Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen.

A Six-Dimensional Taxonomy of Post-Training Adaptation Techniques with Applications in AI Governance Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen

Reference 90

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source=pdf_text observed=2026-08-07T11:35:35.357776Z digest=sha256:bd2a3351ff1413b7eced9b0176cd95b260ebafb6a1e5128490a31a1be5ab641c

Observation 48b519bc-f298-4232-a097-6a2955ce675f · outbound

This paper cites an unresolved cited work.

A Six-Dimensional Taxonomy of Post-Training Adaptation Techniques with Applications in AI Governance Unresolved cited work

Reference 91

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source=pdf_text observed=2026-08-07T11:35:35.097169Z digest=sha256:1d7f5c5f7ecad0a946b9adb29f6768b7842728ed94ebbf37c1be69b60cb9a811

Observation b4e9b782-c8fe-4d36-8942-bee053607217 · outbound

This paper cites REINFORCE++: Stabilizing Critic-Free Policy Optimization with Global Advantage Normalization.

A Six-Dimensional Taxonomy of Post-Training Adaptation Techniques with Applications in AI Governance REINFORCE++: Stabilizing Critic-Free Policy Optimization with Global Advantage Normalization

Reference 92

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source=pdf_text observed=2026-08-07T11:35:35.579312Z digest=sha256:b4ad0cbf28cef040fa79e4e09b0588383a9493af14d9da94e18d44435d1cf628

Observation 50deada6-bb29-4444-8518-25d3817d5020 · outbound

This paper cites an unresolved cited work.

A Six-Dimensional Taxonomy of Post-Training Adaptation Techniques with Applications in AI Governance Unresolved cited work

Reference 93

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source=pdf_text observed=2026-08-07T11:35:35.729845Z digest=sha256:5b039d6ed7e5e1fd70ffe5ffe57f2b8639523491e7c7094f176becdc2849def9

Observation 56cc6408-0329-4699-9cc2-1a3a97fcc03d · outbound

This paper cites an unresolved cited work.

A Six-Dimensional Taxonomy of Post-Training Adaptation Techniques with Applications in AI Governance Unresolved cited work

Reference 94

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source=pdf_text observed=2026-08-07T11:35:35.896451Z digest=sha256:0323ae9d2c378d68726472a16f023cf6fe0494bc0a941db5f52c4922971f1e8a

Observation 5fce73c6-9d94-40a8-971e-16b0dcc3dccc · outbound

This paper cites an unresolved cited work.

A Six-Dimensional Taxonomy of Post-Training Adaptation Techniques with Applications in AI Governance Unresolved cited work

Reference 95

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source=pdf_text observed=2026-08-07T11:35:35.465321Z digest=sha256:04ff6924b8dcdb002b56b23574e1a5bccdc66a671747aceb367e109ea5ffb517

Observation b7fe435f-f523-47f4-8f3d-cb709e1f34ac · outbound

This paper cites On the Trustworthiness of Generative Foundation Models: Guideline, Assessment, and Perspective.

A Six-Dimensional Taxonomy of Post-Training Adaptation Techniques with Applications in AI Governance On the Trustworthiness of Generative Foundation Models: Guideline, Assessment, and Perspective

Reference 96

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source=pdf_text observed=2026-08-07T11:35:36.170228Z digest=sha256:3b860b4888214039cae8851f8c5e993dc1a0f4cc9719d10967d9b8db3ba6a89f

Observation c3d12794-970c-48d4-a1a6-74ce17b38e91 · outbound

This paper cites an unresolved cited work.

A Six-Dimensional Taxonomy of Post-Training Adaptation Techniques with Applications in AI Governance Unresolved cited work

Reference 97

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Observation 96dd7902-55a9-4f11-bc4d-6185805dc829 · outbound

This paper cites an unresolved cited work.

A Six-Dimensional Taxonomy of Post-Training Adaptation Techniques with Applications in AI Governance Unresolved cited work

Reference 98

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source=pdf_text observed=2026-08-07T11:35:36.514593Z digest=sha256:dbfbb8f317deaf64947f0d54cb6068e5200c770b2acfcd231e49ee33529fae88

Observation 7ce8ee4c-6421-4ed3-a2e2-32be1a504afe · outbound

This paper cites an unresolved cited work.

A Six-Dimensional Taxonomy of Post-Training Adaptation Techniques with Applications in AI Governance Unresolved cited work

Reference 99

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source=pdf_text observed=2026-08-07T11:35:36.021296Z digest=sha256:7ca68520c561b120c791e55597197b6ea9b759bbd1d1cb925af627cb3b69c47d

Observation c65fdacc-663f-4e3f-b667-c9491eb89198 · outbound

This paper cites Editing Models with Task Arithmetic.

A Six-Dimensional Taxonomy of Post-Training Adaptation Techniques with Applications in AI Governance Editing Models with Task Arithmetic

Reference 100

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source=pdf_text observed=2026-08-07T11:35:36.760567Z digest=sha256:dbb8c69fad45dfe282e0ea1933bf4c4164e4102424263dbcfd36cb86c1970bd0

Pith citing papers

No inbound Pith citation observations are available.