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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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source=pdf_text observed=2026-08-07T11:35:27.526708Z digest=sha256:7b04f2523898d69acb2966af08aefb73e6f5448e5ddc1b29ce715eb7b5730fae

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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source=pdf_text observed=2026-08-07T11:35:27.634914Z digest=sha256:3bfd11e1da9ffe4b9cd63eacdcfb628b17eaf03fd11e79d39d84556056b880df

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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source=pdf_text observed=2026-08-07T11:35:27.758822Z digest=sha256:a8c6776459ebcad3914bc6de310cbfbf3e24b91216d79393680ea3d7cbc3a387

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=sha256:847dfed76cc26ea217622140d504a636f73a04ed15741f22d84e5cf8675fd0da

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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source=pdf_text observed=2026-08-07T11:35:27.980347Z digest=sha256:8639b60c5ba6f3463a4b7cda280cb3c2cb38a33c6ffb199728408b96009bc8f6

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=sha256:74150fbe8ca6e8a59bc3261e31501c55f7555df48d4671ddc17e0997f2863cda

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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source=pdf_text observed=2026-08-07T11:35:28.282793Z digest=sha256:04a0631a421317262ccc4fc019f00758cef74b686813c533d2f246178acca1f5

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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source=pdf_text observed=2026-08-07T11:35:28.671040Z digest=sha256:d909c9a7086e102f4a23a2ac3f062c4e40137edbdb4842191db95a003a59dd39

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=sha256:7f55173b8f000da23b7c69498a925811f70c5bf35e8fd9e803e2e1f07aee43bc

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=sha256:7f00e9548986dcc30b130084249a1007cde8c21e285780b18ab3d2bdb8cb99cb

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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source=pdf_text observed=2026-08-07T11:35:29.419242Z digest=sha256:1827485ffdd10fe2711cc75a0382fe7c187ba354a8bbe039ea2cc807dcd77863

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

Reference 24

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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

Reference 26

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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

Reference 28

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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

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 32

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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

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 34

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

This paper cites Buehler and Markus J.

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

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 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

Reference 37

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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

Reference 38

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source=pdf_text observed=2026-08-07T11:35:30.795255Z digest=sha256:a21ff4f5077c369a2579c1b8321765406688caf04f2e388fa7c88be82778b87a

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

Reference 39

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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:e8a06011c8b8a694fbdb56642c4146eb9ed4d3b34c66de57dea5ed8f71c2b764

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:cae95d2528ee90b716cdd893376eea1d7506b47858b6e08a8275747f7fecec71

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:ee4a8323460bf1f62fff301c28ce2d7a44c35c7d1b8e1b0181c1c197ad5ac567

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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source=pdf_text observed=2026-08-07T11:35:31.447277Z digest=sha256:e57c9a3bcbd7792f56d41cffdace678690b8b61f90e9b800601e61fd73c6e622

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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source=pdf_text observed=2026-08-07T11:35:31.538441Z digest=sha256:ce55aba72c57aa3a905c77747259e3c6c6a1dfac2fe84ffdc25c2a7efdb7c600

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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source=pdf_text observed=2026-08-07T11:35:31.748900Z digest=sha256:02390d8d592fd4f28b62ecfddf80912b2c8790b23e0b53da350021d5335a05b1

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:c38fc2e6d4187b54d4e84b596a2fe7e4c46eca7068fa3050fdd455b42ec99659

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=sha256:172c9d369340f4ca6092b704d747bf8de88b9e524f68dcaf9d5ed0141949c48a

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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source=pdf_text observed=2026-08-07T11:35:31.966660Z digest=sha256:7ef76f8111da74da22de2f73e77834e6cc99e3f0da0949294f3d270d51eac134

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:f92566e1355f64c1083c18953fc166b1de367b7c4b79dd432c1d2b7e68fc348d

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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source=pdf_text observed=2026-08-07T11:35:32.127684Z digest=sha256:38dedd5c9c34e21a340b4bffe918fb813d3442d32fdac5da03766dbe7f5d1f93

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=sha256:5cfc13d2a8a29651cf23caeb3547c4c8cac46dd4049471919fc9a4873604deb2

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:bd33d7f150483849a2ba4cef11ea16fd207944512a5c1d929078db10b2b7b0b9

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=sha256:64da2a27822389e59d324013a049a00f120a857608d63c0c6a9e52adb5cdd6b3

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:ee4b643b460e719986fc591144adec7c2b4593ba91fed4ff85f997ac3050272f

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=sha256:6a23a41698197806ab8d86d9f4d22b8a5de800e13b59279de8a4a658dd79b776

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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source=pdf_text observed=2026-08-07T11:35:32.738621Z digest=sha256:2b1c8ffa072e401f3c6feddd2bd19a058786a6efe94f6c07672221fd1e3e8669

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=sha256:3e55a6e79ba3e396104cb29c2c02fffa198787ee919d5422b635066a81ccec9f

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:c9aa2ee457e8de1387fcd31464260b38587fdf1f4b9971c01d18e2e75611f9a4

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=sha256:02a3249a83e259d02bdcce97f30f375200fd13fda96ab334f730532235712817

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=sha256:1ce1570fdc1d0554f099b73ee445c9357f847743882bfd06a8e9f7e7de0a12c3

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:dfa47c54f03341faa228ccb2b27060d90c0c02caf9501104337e123f6996ad2e

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:dd15f43d6ce9b857efa7989fa3db5d7b827bce800392c4eb56e1706e1b87fabe

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=sha256:9d924da87cf0edad81ca2ab3c18f917af13b699d8af7be6461ce91f963fca1f5

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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source=pdf_text observed=2026-08-07T11:35:33.471712Z digest=sha256:56ef755360b2722d55ac27bd3a603ec8eafec138658620e2b85fb3cc05fdba3f

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:c08ecfb79951c6be2bcd31d63336adbe4ac92d95be6a84e40e1ef2d60986adbd

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=sha256:2a6d3ed80c02c302d229b5a0898f2e32902b2586776c0ce537cddd42c53728c3

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:dc30b4d972e9815e8dd0fc502308b1411d420b3456a0ca0ebcd01854d92fd6e4

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:a81f3e345760c4549b18e31d75d4577237f6ada17024d773469d9341c2d66a66

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:df15e7215cb283d3953a09e6dd47c3f30b44771984c7ff7811f4804a03e9d3ed

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=sha256:7bec4cb770f6c5e88a1d1e16a3f8829e0cb06c2eee3c052d08e8d19f018cab13

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:af1d8f1e8d5d9d9a4f06beba9204c4664530bb3c82d1d9d3cd491d28b45b6329

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:aee039657e0f16b9192662b4b84129445667affd704834fca14773eeff0f232e

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=sha256:7eb9b444bfd7bc5a9c87cd7f2168667a351259c15c5242954ecf33bf8f8895e5

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=sha256:6cd7572675a8faa49ca8a70e7c0017663355472ae53b8dab6ed9f31baf31f8b4

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:c89fda3c00449a90a012a249d8094ae585ebb0348bb4b42b9eb829cb4192992a

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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source=pdf_text observed=2026-08-07T11:35:34.174352Z digest=sha256:34873d7f0378a5f21c3572c873449348a0b2e1e8961d74538d3f55ff4c4192e5

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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source=pdf_text observed=2026-08-07T11:35:34.502243Z digest=sha256:1eaaf3157759cd9a4be6e872dc1f908e4d06ca91fcebff979d1e1ca4b02e0fd1

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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source=pdf_text observed=2026-08-07T11:35:34.601322Z digest=sha256:80c6143ac63b51d439e26dceec0fccc876b0a725acf88677714e2bd07d2e8b58

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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source=pdf_text observed=2026-08-07T11:35:34.631404Z digest=sha256:e49aab5bda38c1190339d61cf34b2c39d35a8fd978e8a40bbb0bcab96ba6cdc5

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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source=pdf_text observed=2026-08-07T11:35:34.455715Z digest=sha256:a85584f1f9e23aff23442de4ecc3d7cc2b687b6ff67c3c4ff0d7a06dfc54d623

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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source=pdf_text observed=2026-08-07T11:35:34.816101Z digest=sha256:d3114247b1fe174ed896fe38da2bbedb7c4f4718859aaf295982790931298260

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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source=pdf_text observed=2026-08-07T11:35:34.920970Z digest=sha256:c4bd467d9d9901a11fd3e467ba12dfed26ce78cef9e99278825054f0e609bd26

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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source=pdf_text observed=2026-08-07T11:35:34.994610Z digest=sha256:1c8898d8b0a088a85f14036a47c3f5add9e64298aa2546f04647744cce39bdc0

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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source=pdf_text observed=2026-08-07T11:35:34.697684Z digest=sha256:adfc4c885ad985fd5847c2c204521a87fd6d1393bd22f8c2e1b160a7482420c1

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=sha256:05fd94c509c966b86d2e24174fbe6082e2b3effb287d04980e7957f782a3b4f7

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=sha256:1e0a98bc0b041ad2df9d1d6a535db8fc16213d5096295451405618a7dd5d5679

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=sha256:7408ee0b125dc7023bc8a4fc37a6fc4f8cd2517334de3bca7fb27a5c7c7f51ac

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:f0e852209d8d6c12c1fc9ca200ed5d1a495bfe149c22bb05a297eb7bff6ae990

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=sha256:37dea79a2db0b1c239c00e3fbb726d92bbec4c8e22d53f9beab2f9802fa06f47

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=sha256:9e2f79ac60219b0d79668af437f78c04d15e3540df1458a76650d2858aa3daba

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:d0a69c44f67e289821abbe4e2888a93ae6d59874ad148cf2d539041448744ff1

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-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:35:35.465321Z digest=sha256:6fbf0a616b5f0e90f4881f34c72054db802322bfd9a78816870095cec2152d84

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=sha256:0a28b1b9f07fb4e068c707fff50b267d7212b456314e8f00db299717ce345aae

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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source=pdf_text observed=2026-08-07T11:35:36.340768Z digest=sha256:13926d0ccbd49f673b2452cd5eef318ade6b89429f2fd77f1e7ad9b68a92cf8d

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:ee72493ee112ce3ce3ece770c0b3e9642ed8f1d8030fd06a96548a06e1c4ff24

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=sha256:07900a2891c676c484f186380037cb8a46830408b055a5d4fa56e4a768993934

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:c8613da84676a1f7a0e9b5622d8e3613c0df31582bc4e4e721fd193beb84034f

Pith citing papers

No inbound Pith citation observations are available.