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Paper Citation Record · LEDGER

Unveiling Instruction-Specific Neurons & Experts: An Analytical Framework for LLM's Instruction-Following Capabilities

As of 10 August 2026, this Paper Citation Record lists 59 of 59 outbound references and 0 inbound Pith citation observations for arXiv:2505.21191.

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

pith.paper-citation-record.v1
2505.21191 v1

Coverage vector

measured 59 of 59 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:43:24.384589Z

measured 59 of 59 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

59 of 59 outbound references displayed

  • verified exact1
  • verified fuzzy0
  • unresolved58
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3a414873-eac2-4ce3-9c7f-3040b2ef1140 · outbound

This paper cites Qwen Technical Report.

Unveiling Instruction-Specific Neurons & Experts: An Analytical Framework for LLM's Instruction-Following Capabilities Qwen Technical Report

Reference 1

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source=arxiv_source observed=2026-08-07T13:43:19.964291Z digest=sha256:b521ec5131d757a75365a537939949bd258b05448059b02031003fe05cb9f5b9

Observation debfa87b-18b5-4e51-969c-90a69b4d3c5d · outbound

This paper cites LLMs for Explainable AI: A Comprehensive Survey.

Unveiling Instruction-Specific Neurons & Experts: An Analytical Framework for LLM's Instruction-Following Capabilities LLMs for Explainable AI: A Comprehensive Survey

Reference 2

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source=arxiv_source observed=2026-08-07T13:43:20.009714Z digest=sha256:63c59858ef9dc3e23b53c1e0724521508bc4defdd1ec53d848cbcfb405be4dd5

Observation 8a4dd664-93c2-4fef-972a-7bc00c53fe8f · outbound

This paper cites an unresolved cited work.

Unveiling Instruction-Specific Neurons & Experts: An Analytical Framework for LLM's Instruction-Following Capabilities Unresolved cited work

Reference 3

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source=arxiv_source observed=2026-08-07T13:43:20.102604Z digest=sha256:b9675b89120c64cb87cf11cf3031d22b988816f800bf5cd2355922dab1c634c8

Observation bb6b2228-4400-4ee0-8423-3e328d5daabe · outbound

This paper cites XAI meets LLMs: A Survey of the Relation between Explainable AI and Large Language Models.

Unveiling Instruction-Specific Neurons & Experts: An Analytical Framework for LLM's Instruction-Following Capabilities XAI meets LLMs: A Survey of the Relation between Explainable AI and Large Language Models

Reference 4

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source=arxiv_source observed=2026-08-07T13:43:20.220908Z digest=sha256:21909732361c30312a83805c72cdbc1f7fbaf77d426a345c5200ae88ad7ba4d2

Observation dd864b57-e3af-4b76-85ff-6440285ee828 · outbound

This paper cites an unresolved cited work.

Unveiling Instruction-Specific Neurons & Experts: An Analytical Framework for LLM's Instruction-Following Capabilities Unresolved cited work

Reference 5

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source=arxiv_source observed=2026-08-07T13:43:20.299528Z digest=sha256:8296612d49ab452b919d9ee1f0be24e0c547260e355ccb01248d1168af975926

Observation df8f2ce7-16d4-45c7-b347-c2cec626e615 · outbound

This paper cites Evaluating Large Language Models Trained on Code.

Unveiling Instruction-Specific Neurons & Experts: An Analytical Framework for LLM's Instruction-Following Capabilities Evaluating Large Language Models Trained on Code

Reference 6

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source=arxiv_source observed=2026-08-07T13:43:20.396331Z digest=sha256:10ca27a9478ad645f4ec723d783ed4e6030401d53b64685d3bc64e26da904763

Observation 897ba542-e034-4cdc-94f5-9e35acd58c08 · outbound

This paper cites Deep reinforcement learning from human preferences.

Unveiling Instruction-Specific Neurons & Experts: An Analytical Framework for LLM's Instruction-Following Capabilities Deep reinforcement learning from human preferences

Reference 7

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source=arxiv_source observed=2026-08-07T13:43:20.491648Z digest=sha256:23c89467b4ad2a3a9d4e87faf8f3c242acb10b454e8aa23e5aadb8436366c2f2

Observation df639f4c-da81-48cd-8826-711e4cb44b8a · outbound

This paper cites Knowledge Neurons in Pretrained Transformers.

Unveiling Instruction-Specific Neurons & Experts: An Analytical Framework for LLM's Instruction-Following Capabilities Knowledge Neurons in Pretrained Transformers

Reference 8

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source=arxiv_source observed=2026-08-07T13:43:20.561182Z digest=sha256:65c12c2a99d81b5fe6c4d3d2227fc24201092d5d712a89238aa7641c24ff6e36

Observation 41d1dc5a-5c54-40a3-8a90-a5bb7ca5af7e · outbound

This paper cites Exploring Response Uncertainty in MLLMs: An Empirical Evaluation under Misleading Scenarios.

Unveiling Instruction-Specific Neurons & Experts: An Analytical Framework for LLM's Instruction-Following Capabilities Exploring Response Uncertainty in MLLMs: An Empirical Evaluation under Misleading Scenarios

Reference 9

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source=arxiv_source observed=2026-08-07T13:43:20.647734Z digest=sha256:00254772dd773a17f115f51dd4a693cf93f45f8657833d4bf72e62eb4d654dcb

Observation c290342c-0da3-4f65-972e-2abca84c9c7e · outbound

This paper cites Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey.

Unveiling Instruction-Specific Neurons & Experts: An Analytical Framework for LLM's Instruction-Following Capabilities Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey

Reference 10

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source=arxiv_source observed=2026-08-07T13:43:20.743949Z digest=sha256:82b051763d7853eeff9a9e6cf86951beefc6427b11f27f82bd426ecd6d55e5f6

Observation 07357b8f-6b37-415f-955c-421abcb69eaa · outbound

This paper cites MINER: Mining the Underlying Pattern of Modality-Specific Neurons in Multimodal Large Language Models.

Unveiling Instruction-Specific Neurons & Experts: An Analytical Framework for LLM's Instruction-Following Capabilities MINER: Mining the Underlying Pattern of Modality-Specific Neurons in Multimodal Large Language Models

Reference 11

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source=arxiv_source observed=2026-08-07T13:43:20.856046Z digest=sha256:b6e0cb0acbefec40164db9227fcc76e3e15b458c878294a1cd72e4714e8395dc

Observation ab689d32-1985-4586-bc5b-1776e1733e0c · outbound

This paper cites Ultra-Sparse Memory Network.

Unveiling Instruction-Specific Neurons & Experts: An Analytical Framework for LLM's Instruction-Following Capabilities Ultra-Sparse Memory Network

Reference 12

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source=arxiv_source observed=2026-08-07T13:43:20.892077Z digest=sha256:8dc4715c6736cacf88c4f5f3f4f87dfe807e45f2865ae841d59bb71e9e79e5c7

Observation 31f9d87e-d882-4a80-ba01-56ad74eef97c · outbound

This paper cites MMNeuron: Discovering Neuron-Level Domain-Specific Interpretation in Multimodal Large Language Model.

Unveiling Instruction-Specific Neurons & Experts: An Analytical Framework for LLM's Instruction-Following Capabilities MMNeuron: Discovering Neuron-Level Domain-Specific Interpretation in Multimodal Large Language Model

Reference 13

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source=arxiv_source observed=2026-08-07T13:43:20.968904Z digest=sha256:a826909a920f2bd24a5e175f581f4babb82af9cce1e241685f1e9c4e7c94cf5b

Observation 52c47cad-cd9d-4a33-b6e1-3090afe7f589 · outbound

This paper cites an unresolved cited work.

Unveiling Instruction-Specific Neurons & Experts: An Analytical Framework for LLM's Instruction-Following Capabilities Unresolved cited work

Reference 14

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source=arxiv_source observed=2026-08-07T13:43:21.039415Z digest=sha256:7f0de3e9b75230454472df0dd6914d43f07889db66e861bc4d23c772ccc3bedf

Observation f3dde6c8-36c4-43fe-aef3-867276f50b0a · outbound

This paper cites an unresolved cited work.

Unveiling Instruction-Specific Neurons & Experts: An Analytical Framework for LLM's Instruction-Following Capabilities Unresolved cited work

Reference 15

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source=arxiv_source observed=2026-08-07T13:43:21.113684Z digest=sha256:69a6d80ae34f27ee92614a85f783d4012de3d556bafca6c8e05e95a1496127d5

Observation bdee1547-859e-4e4e-9c27-d2a9ff67927c · outbound

This paper cites Mistral 7B.

Unveiling Instruction-Specific Neurons & Experts: An Analytical Framework for LLM's Instruction-Following Capabilities Mistral 7B

Reference 16

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source=arxiv_source observed=2026-08-07T13:43:21.168313Z digest=sha256:b16b2da79afd94989d43aaee483534e151e07f04865d259904d6818cc6454cd7

Observation cecf3478-afd8-40b5-be2b-e5bc715b2a27 · outbound

This paper cites an unresolved cited work.

Unveiling Instruction-Specific Neurons & Experts: An Analytical Framework for LLM's Instruction-Following Capabilities Unresolved cited work

Reference 17

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source=arxiv_source observed=2026-08-07T13:43:21.233205Z digest=sha256:d46d2185a7bdfae3ef5cff2b5773a90a97001dd2cbaabc2026e6e0c2784330c5

Observation 2ddf5e79-ad21-4719-86ba-440664c41dea · outbound

This paper cites TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension.

Unveiling Instruction-Specific Neurons & Experts: An Analytical Framework for LLM's Instruction-Following Capabilities TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension

Reference 18

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source=arxiv_source observed=2026-08-07T13:43:21.313742Z digest=sha256:934e034993c09d6a8b58744668c13f53250039c1d88648e29f9d587f487c8a07

Observation b2ce549f-586f-4d00-a78c-08f9ef060bea · outbound

This paper cites an unresolved cited work.

Unveiling Instruction-Specific Neurons & Experts: An Analytical Framework for LLM's Instruction-Following Capabilities Unresolved cited work

Reference 19

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source=arxiv_source observed=2026-08-07T13:43:21.374816Z digest=sha256:58fb52f96f82af162bbe579393f3ebb900d88bf27f10d04e73899966165b76ed

Observation e4d1a775-1098-4e73-8b86-fa37d8a851a9 · outbound

This paper cites On the Multilingual Ability of Decoder-based Pre-trained Language Models: Finding and Controlling Language-Specific Neurons.

Unveiling Instruction-Specific Neurons & Experts: An Analytical Framework for LLM's Instruction-Following Capabilities On the Multilingual Ability of Decoder-based Pre-trained Language Models: Finding and Controlling Language-Specific Neurons

Reference 20

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source=arxiv_source observed=2026-08-07T13:43:21.452343Z digest=sha256:6bcc1fcdab390c07958572457fac37de6a36ce785cca819847ca231d38438f4b

Observation 2b962cfb-0dbf-481a-9c17-18546115a1ef · outbound

This paper cites LLM Post-Training: A Deep Dive into Reasoning Large Language Models.

Unveiling Instruction-Specific Neurons & Experts: An Analytical Framework for LLM's Instruction-Following Capabilities LLM Post-Training: A Deep Dive into Reasoning Large Language Models

Reference 21

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source=arxiv_source observed=2026-08-07T13:43:21.572829Z digest=sha256:29a2f48daa4a9db91b1cb433c3fe13911b06f3d9efc56e6178d0a3a1e760ad1f

Observation 11e20177-bb05-4dd2-8d90-209cd37cf037 · outbound

This paper cites Gonzalez, Hao Zhang, and Ion Stoica.

Unveiling Instruction-Specific Neurons & Experts: An Analytical Framework for LLM's Instruction-Following Capabilities Gonzalez, Hao Zhang, and Ion Stoica

Reference 22

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source=arxiv_source observed=2026-08-07T13:43:21.662351Z digest=sha256:2314bc822531df2f3603bfd8125a1e0af6900951bbf0f1f6cf6cf81e33b6b2e9

Observation 0c458b95-e731-4a16-b90b-ec624f0f1b03 · outbound

This paper cites an unresolved cited work.

Unveiling Instruction-Specific Neurons & Experts: An Analytical Framework for LLM's Instruction-Following Capabilities Unresolved cited work

Reference 23

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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=2026-08-07T13:43:21.719925Z digest=sha256:b99bb7b70c276fb26cec8a5e6f1a3aff76022e6e2a20d3d3d3f9ccf3c7af6a0e

Observation 00bfe2d9-d127-498a-afd5-ed7e07371dba · outbound

This paper cites From System 1 to System 2: A Survey of Reasoning Large Language Models.

Unveiling Instruction-Specific Neurons & Experts: An Analytical Framework for LLM's Instruction-Following Capabilities From System 1 to System 2: A Survey of Reasoning Large Language Models

Reference 24

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source=arxiv_source observed=2026-08-07T13:43:21.806163Z digest=sha256:c8fca478d62b3d0c04e9564c8298c3bf29b3a9cf98e4cff23a886a86721e656b

Observation f71e8215-290c-4cfc-9db0-127f84736f77 · outbound

This paper cites Let's Verify Step by Step.

Unveiling Instruction-Specific Neurons & Experts: An Analytical Framework for LLM's Instruction-Following Capabilities Let's Verify Step by Step

Reference 25

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source=arxiv_source observed=2026-08-07T13:43:21.895969Z digest=sha256:54960ca10730b390a7f5f4f10383934b8c717952141dcf39aa6d505d4e2a450e

Observation 041d51f2-4852-4d0d-9670-7a54829af6c3 · outbound

This paper cites MoE-LLaVA: Mixture of Experts for Large Vision-Language Models.

Unveiling Instruction-Specific Neurons & Experts: An Analytical Framework for LLM's Instruction-Following Capabilities MoE-LLaVA: Mixture of Experts for Large Vision-Language Models

Reference 26

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source=arxiv_source observed=2026-08-07T13:43:21.978244Z digest=sha256:753b35be13677705ed3346ac478a57024f77d46eebf814e532a6a987511d5055

Observation 7e9e2b38-8c79-4a2a-9839-be9d7bc72521 · outbound

This paper cites The Flan Collection: Designing Data and Methods for Effective Instruction Tuning.

Unveiling Instruction-Specific Neurons & Experts: An Analytical Framework for LLM's Instruction-Following Capabilities The Flan Collection: Designing Data and Methods for Effective Instruction Tuning

Reference 27

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source=arxiv_source observed=2026-08-07T13:43:22.051553Z digest=sha256:cf36a366569a0a38b7c22ec455c670b493b9f723fbd73bfc46bfad221fd6db5d

Observation 44e521b4-d62e-4000-9dee-698357a0faf7 · outbound

This paper cites Sparse Feature Circuits: Discovering and Editing Interpretable Causal Graphs in Language Models.

Unveiling Instruction-Specific Neurons & Experts: An Analytical Framework for LLM's Instruction-Following Capabilities Sparse Feature Circuits: Discovering and Editing Interpretable Causal Graphs in Language Models

Reference 28

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source=arxiv_source observed=2026-08-07T13:43:22.122095Z digest=sha256:6c9fd12c349535e0efd5391f4f0ff90de48395de25e50e5c5722fc898b00e48a

Observation 119eecba-5da6-40d7-a85f-6301fe42b66a · outbound

This paper cites Circuit Component Reuse Across Tasks in Transformer Language Models.

Unveiling Instruction-Specific Neurons & Experts: An Analytical Framework for LLM's Instruction-Following Capabilities Circuit Component Reuse Across Tasks in Transformer Language Models

Reference 29

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source=arxiv_source observed=2026-08-07T13:43:22.212757Z digest=sha256:06141b706a04526d3120cd90baa88322394e3d8e3a512884dec6a4f4a34745b1

Observation 78b033dd-3c7e-4dd3-97f8-4d9f9fbaecb4 · outbound

This paper cites Explainable artificial intelligence (XAI): from inherent explainability to large language models.

Unveiling Instruction-Specific Neurons & Experts: An Analytical Framework for LLM's Instruction-Following Capabilities Explainable artificial intelligence (XAI): from inherent explainability to large language models

Reference 30

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source=arxiv_source observed=2026-08-07T13:43:22.303916Z digest=sha256:fa9aa578dbc88b7f3f2a5a8370c90d1f26ee8cbfa5d2972fc5c8c69ea668a8f2

Observation 0f37de5b-2db4-49e4-b48c-b9944b38fe96 · outbound

This paper cites Fine-Tuning Enhances Existing Mechanisms: A Case Study on Entity Tracking.

Unveiling Instruction-Specific Neurons & Experts: An Analytical Framework for LLM's Instruction-Following Capabilities Fine-Tuning Enhances Existing Mechanisms: A Case Study on Entity Tracking

Reference 31

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source=arxiv_source observed=2026-08-07T13:43:22.390818Z digest=sha256:bb399493dd7ae4633f279c344080b8315b6f249c62483fa4965f8634bc537371

Observation bdfe734f-1d47-4485-b15e-f0f5523c60ee · outbound

This paper cites Direct Preference Optimization: Your Language Model is Secretly a Reward Model.

Unveiling Instruction-Specific Neurons & Experts: An Analytical Framework for LLM's Instruction-Following Capabilities Direct Preference Optimization: Your Language Model is Secretly a Reward Model

Reference 32

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source=arxiv_source observed=2026-08-07T13:43:22.467508Z digest=sha256:990e96608c87d0fc002e82dc1d722ccbff52ecec96f765f8bc06eb6341fe5779

Observation b27c3caf-b129-4e2c-9e51-7f254da7658f · outbound

This paper cites Tag-LLM: Repurposing General-Purpose LLMs for Specialized Domains.

Unveiling Instruction-Specific Neurons & Experts: An Analytical Framework for LLM's Instruction-Following Capabilities Tag-LLM: Repurposing General-Purpose LLMs for Specialized Domains

Reference 33

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source=arxiv_source observed=2026-08-07T13:43:22.589035Z digest=sha256:719e538ccd2358c07c6a6984a3148697c4d43e6290c02ce0eb4222665492a2a8

Observation f162fd9e-bbe7-4558-8095-a96b64548eaf · outbound

This paper cites Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts.

Unveiling Instruction-Specific Neurons & Experts: An Analytical Framework for LLM's Instruction-Following Capabilities Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts

Reference 34

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source=arxiv_source observed=2026-08-07T13:43:22.677027Z digest=sha256:2c3d095660cee22ca95a9771b90d8744da81ebea34f80d0878c4e3d23aaef895

Observation ad1aa983-c350-4d12-a972-a406453095bc · outbound

This paper cites an unresolved cited work.

Unveiling Instruction-Specific Neurons & Experts: An Analytical Framework for LLM's Instruction-Following Capabilities Unresolved cited work

Reference 35

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

source=arxiv_source observed=2026-08-07T13:43:22.769215Z digest=sha256:b3607ac38cd0788b1b171c1152da69702ba8bf1ddc6f4b0928318921acca7f8a

Observation c1a16598-ef16-4d84-b419-3f9f3f551380 · outbound

This paper cites Learning to summarize from human feedback.

Unveiling Instruction-Specific Neurons & Experts: An Analytical Framework for LLM's Instruction-Following Capabilities Learning to summarize from human feedback

Reference 36

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source=arxiv_source observed=2026-08-07T13:43:22.850461Z digest=sha256:086c64f97ded0ce293daeb8515fcefcec5ead2c63bcba57ce905fab0cbbbee54

Observation d748ddf9-785c-4316-9149-22974de96b7d · outbound

This paper cites Language-Specific Neurons: The Key to Multilingual Capabilities in Large Language Models.

Unveiling Instruction-Specific Neurons & Experts: An Analytical Framework for LLM's Instruction-Following Capabilities Language-Specific Neurons: The Key to Multilingual Capabilities in Large Language Models

Reference 37

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source=arxiv_source observed=2026-08-07T13:43:22.935074Z digest=sha256:6ce0642777965f556b008d1f8c394ae7fcc6615c2d864559a6b8c629e5cfa5bc

Observation eea5d4b6-6a3f-4e8c-9357-394eead6ba00 · outbound

This paper cites Hashimoto.

Unveiling Instruction-Specific Neurons & Experts: An Analytical Framework for LLM's Instruction-Following Capabilities Hashimoto

Reference 38

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source=arxiv_source observed=2026-08-07T13:43:23.025470Z digest=sha256:2d2abf2cca86d0a6f8ab03be33722d0e09bddfb9ca9bb6075072b0c6e181d67d

Observation 8f3397aa-c555-4eba-b6ea-281d7873d8f6 · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

Unveiling Instruction-Specific Neurons & Experts: An Analytical Framework for LLM's Instruction-Following Capabilities Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 39

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source=arxiv_source observed=2026-08-07T13:43:23.104052Z digest=sha256:5363376a1b20cabbf2fe9a13f5b539f8dfb58a95ae5e44821ff21e1bbcf0ed3a

Observation 959eb4be-6b05-4779-8155-b25091b2c030 · outbound

This paper cites A Survey on Data Selection for LLM Instruction Tuning.

Unveiling Instruction-Specific Neurons & Experts: An Analytical Framework for LLM's Instruction-Following Capabilities A Survey on Data Selection for LLM Instruction Tuning

Reference 40

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source=arxiv_source observed=2026-08-07T13:43:23.198327Z digest=sha256:55e563c7fd9843000249d1c598eb79dce36115b840352086e8575a24711b643b

Observation 10673e84-3e3d-497b-91a0-9cf3f210ee49 · outbound

This paper cites Interpretability in the Wild: a Circuit for Indirect Object Identification in GPT-2 small.

Unveiling Instruction-Specific Neurons & Experts: An Analytical Framework for LLM's Instruction-Following Capabilities Interpretability in the Wild: a Circuit for Indirect Object Identification in GPT-2 small

Reference 41

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source=arxiv_source observed=2026-08-07T13:43:23.280878Z digest=sha256:f313f6d93527134733823c5f1db91b72ad699c08e375f1f7566844ffb24c45e0

Observation a2ae0ec1-7fa4-471c-ab8e-07e573144a68 · outbound

This paper cites Parameter-Efficient Fine-Tuning in Large Models: A Survey of Methodologies.

Unveiling Instruction-Specific Neurons & Experts: An Analytical Framework for LLM's Instruction-Following Capabilities Parameter-Efficient Fine-Tuning in Large Models: A Survey of Methodologies

Reference 42

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source=arxiv_source observed=2026-08-07T13:43:23.358774Z digest=sha256:e403390d804ceb7bd30782a958867f6c65623400968c686d8c987adfa053dc88

Observation ad3536f2-b3c9-4a83-af3e-b188a07ae430 · outbound

This paper cites an unresolved cited work.

Unveiling Instruction-Specific Neurons & Experts: An Analytical Framework for LLM's Instruction-Following Capabilities Unresolved cited work

Reference 43

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source=arxiv_source observed=2026-08-07T13:43:23.410026Z digest=sha256:4e7f0e1ff376c41f946e87aa0ef89ac4f9cdaa248f103b42bb4de2397e5d998a

Observation 8094663d-ccdf-43de-9cdd-2503bb510a76 · outbound

This paper cites Finding Skill Neurons in Pre-trained Transformer-based Language Models.

Unveiling Instruction-Specific Neurons & Experts: An Analytical Framework for LLM's Instruction-Following Capabilities Finding Skill Neurons in Pre-trained Transformer-based Language Models

Reference 44

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source=arxiv_source observed=2026-08-07T13:43:23.479172Z digest=sha256:836752efb3a0c79357b28c28b5dcaeaa13d6b02950c95f48b8e490b3392cdd05

Observation d4952f2b-37fe-4c39-a508-94650ac54e77 · outbound

This paper cites Self-Instruct: Aligning Language Models with Self-Generated Instructions.

Unveiling Instruction-Specific Neurons & Experts: An Analytical Framework for LLM's Instruction-Following Capabilities Self-Instruct: Aligning Language Models with Self-Generated Instructions

Reference 45

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source=arxiv_source observed=2026-08-07T13:43:23.555627Z digest=sha256:30c77e9107c8a96889ca79f2554ad95d94b8079a2b56504325c5122ee5b3c787

Observation ac9e2e24-ee35-4fd7-b56a-a86ae8a39575 · outbound

This paper cites Reinforcement Learning for LLM Post-Training: A Survey.

Unveiling Instruction-Specific Neurons & Experts: An Analytical Framework for LLM's Instruction-Following Capabilities Reinforcement Learning for LLM Post-Training: A Survey

Reference 46

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source=arxiv_source observed=2026-08-07T13:43:23.597483Z digest=sha256:f47d28f8eb8d4800c0d4be58095c70e5055068a7c1a39db7c6733a9f40feb070

Observation 38db9f30-f768-4547-b2f1-e08ce7790a83 · outbound

This paper cites Finetuned Language Models Are Zero-Shot Learners.

Unveiling Instruction-Specific Neurons & Experts: An Analytical Framework for LLM's Instruction-Following Capabilities Finetuned Language Models Are Zero-Shot Learners

Reference 47

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source=arxiv_source observed=2026-08-07T13:43:23.649873Z digest=sha256:63210cbbd4ab35b2587157669dc844ed2617d6bbab2921a442d246a7279c31a0

Observation f20883cb-552e-4e15-9860-ab094be1175c · outbound

This paper cites A Survey on Feedback-based Multi-step Reasoning for Large Language Models on Mathematics.

Unveiling Instruction-Specific Neurons & Experts: An Analytical Framework for LLM's Instruction-Following Capabilities A Survey on Feedback-based Multi-step Reasoning for Large Language Models on Mathematics

Reference 48

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source=arxiv_source observed=2026-08-07T13:43:23.742880Z digest=sha256:3c471bef84c06711ad0928f15644da34e2d00fb7823667f1d7b3c32150acb8e5

Observation d12d58b0-7a7f-42de-915c-47f8ff317603 · outbound

This paper cites Usable XAI: 10 Strategies Towards Exploiting Explainability in the LLM Era.

Unveiling Instruction-Specific Neurons & Experts: An Analytical Framework for LLM's Instruction-Following Capabilities Usable XAI: 10 Strategies Towards Exploiting Explainability in the LLM Era

Reference 49

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source=arxiv_source observed=2026-08-07T13:43:23.792135Z digest=sha256:e63828f6cd2c56b938651e7885d5adfc35eadf81f8145d1e8abc1ce57876e710

Observation 0d5b4e13-f700-482d-b896-2f0c99511bb8 · outbound

This paper cites A Survey of Mathematical Reasoning in the Era of Multimodal Large Language Model: Benchmark, Method & Challenges.

Unveiling Instruction-Specific Neurons & Experts: An Analytical Framework for LLM's Instruction-Following Capabilities A Survey of Mathematical Reasoning in the Era of Multimodal Large Language Model: Benchmark, Method & Challenges

Reference 50

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source=arxiv_source observed=2026-08-07T13:43:23.839050Z digest=sha256:de97d1da4e7d7c6c3cbbdffecfc75ac6003468a14431f97dbe37e0c5ee051481

Observation b15cb36b-4ccc-4a3c-bd5c-af9a360c38a5 · outbound

This paper cites ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection.

Unveiling Instruction-Specific Neurons & Experts: An Analytical Framework for LLM's Instruction-Following Capabilities ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection

Reference 51

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source=arxiv_source observed=2026-08-07T13:43:23.892898Z digest=sha256:783059f32590b842f2e4a8cd6c468abe2dfe194ed06dc65202578d9ab1c13606

Observation f4ad5b91-3843-4b1a-8894-e91146c14754 · outbound

This paper cites Position: Multimodal Large Language Models Can Significantly Advance Scientific Reasoning.

Unveiling Instruction-Specific Neurons & Experts: An Analytical Framework for LLM's Instruction-Following Capabilities Position: Multimodal Large Language Models Can Significantly Advance Scientific Reasoning

Reference 52

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source=arxiv_source observed=2026-08-07T13:43:23.960483Z digest=sha256:59d08bdf33cc0260a4ad3f3e82ee0154329a3eec412a599903f62c0a88bbfcd5

Observation 94fd43ef-a873-49c1-8950-cc7c57621ac7 · outbound

This paper cites Faster MoE LLM Inference for Extremely Large Models.

Unveiling Instruction-Specific Neurons & Experts: An Analytical Framework for LLM's Instruction-Following Capabilities Faster MoE LLM Inference for Extremely Large Models

Reference 53

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verified exact
local_arxiv, observed 2026-08-07T13:43:24.767084Z

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=2026-08-07T13:43:24.027192Z digest=sha256:c26a5321669dd2d6970b87bc49ac8b96a4dce22a91b027813348c885bc0c0c53

Observation 9df6e3ce-a2f1-4169-8df6-dc4733a4e8d2 · outbound

This paper cites Knowledge Circuits in Pretrained Transformers.

Unveiling Instruction-Specific Neurons & Experts: An Analytical Framework for LLM's Instruction-Following Capabilities Knowledge Circuits in Pretrained Transformers

Reference 54

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source=arxiv_source observed=2026-08-07T13:43:24.087726Z digest=sha256:874ae05eb4a853d83f61c238a81118d7b7263f5d168e588f0b6f96b3b6e79231

Observation cdcd4a8c-fadf-4c55-81e7-a6523f8173a1 · outbound

This paper cites MoE-Lens: Towards the Hardware Limit of High-Throughput MoE LLM Serving Under Resource Constraints.

Unveiling Instruction-Specific Neurons & Experts: An Analytical Framework for LLM's Instruction-Following Capabilities MoE-Lens: Towards the Hardware Limit of High-Throughput MoE LLM Serving Under Resource Constraints

Reference 55

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Source-reported events for the cited work

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source=arxiv_source observed=2026-08-07T13:43:24.170941Z digest=sha256:a33cbabc487fe3ee2b327a0d47a17ef4cac13b4fc91646d9dc5eacc714ad92a7

Observation a3072bb6-a9d5-43cd-a4e8-c7ee117cfeaf · outbound

This paper cites an unresolved cited work.

Unveiling Instruction-Specific Neurons & Experts: An Analytical Framework for LLM's Instruction-Following Capabilities Unresolved cited work

Reference 56

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source=arxiv_source observed=2026-08-07T13:43:24.215552Z digest=sha256:10e1d1059e16b5edea8165a467f5cfbdf4dd671dac6dd11f84f2bfbadeab1fbc

Observation 7be85cab-debf-4b3e-b511-6ee13b6fc47c · outbound

This paper cites How do Large Language Models Handle Multilingualism?.

Unveiling Instruction-Specific Neurons & Experts: An Analytical Framework for LLM's Instruction-Following Capabilities How do Large Language Models Handle Multilingualism?

Reference 57

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source=arxiv_source observed=2026-08-07T13:43:24.256961Z digest=sha256:a6451a05c217b94fca112b8f5a8b098ca2683aab7d54ea1b89d9329481690ad1

Observation 6c2d360c-e1bd-4052-a5ea-68d681b503d0 · outbound

This paper cites online" 'onlinestring :=.

Unveiling Instruction-Specific Neurons & Experts: An Analytical Framework for LLM's Instruction-Following Capabilities online" 'onlinestring :=

Reference 58

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Source-reported events for the cited work

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source=arxiv_source observed=2026-08-07T13:43:24.309202Z digest=sha256:0b2863a9b70cf1b7464129bad15c7d41d519bbe5ee3aa5331a9710e6ccbb665d

Observation f6ea9f57-a825-4531-b0e7-00e2237f1d5c · outbound

This paper cites write newline.

Unveiling Instruction-Specific Neurons & Experts: An Analytical Framework for LLM's Instruction-Following Capabilities write newline

Reference 59

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Source-reported events for the cited work

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source=arxiv_source observed=2026-08-07T13:43:24.384589Z digest=sha256:b77e09a6da5295c36c15928a6471dd47e5895027bea9fdbaa412e5d5d145af93

Pith citing papers

No inbound Pith citation observations are available.