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Paper Citation Record · LEDGER

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

As of 18 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 2026-08-18T06:34:40.430872+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=sha256:11b6356fd591e0e3cdb5809d1af8dc19ca0b1628f215fcedfd12a2db20aeb770

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=sha256:79c3732e71872724e73605f7123db2b107ac98e640487242a382c4bd62433f0d

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:c3fbef26f3368b21125cec92548699336405c8078a0492dab5e629a74c9cf982

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:bd08d8d592a9aa15e55561a80d70e109a4487e9b5e10ff6cb0d5afe050dde1fe

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:ce8f2a65dc1e5191e6861d9ff4e7d72a7c54c07204d4d7d61f6c398fd706de5d

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=sha256:906c205d4ddc6fa8d6ab5080eba3687211fd13e90a2a3d87a56ed400a0ff8016

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=sha256:91f8d89a7dd0e4a23514eb3b293893ff26ef549a89f0e0bdf040db28237097a1

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=sha256:9687c892ceceb7420d80f27569afa5e5b5620d6ec8cb3e90c8ba944f32731dba

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=sha256:83fc23e539bc1d4bf44f79893ab2351fffcb55c6b02b49e6ad1320bff67d1e5a

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=sha256:920d86f70e7a5ec83c53022fd1cf4f683c946521b450f82c660911687b380810

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=sha256:94bea186ca13cdcf77dbf1bd9dbd0ff017a60baf46f029cab349012950afbb44

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=sha256:9a3598ae274c9f138d1a1151905c649cee910186151d5aa141de2e499a1fdae1

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=sha256:62802e67d0147d3d1c5298d777de406e7b0d01adb7f8119a7753739a3494c028

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:a5021eb9ec271166cdf6c17b0829853ef99f3d829557581dbb36cd9c332c1baf

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:a8761311111b2fc0524a60fd3c900cd57f499e8331fb9ac18c5b94b585308590

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=sha256:9e0e695528ea8f0bf724257012a23a957cd16ca1ff2c175065ec9385d5760189

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=sha256:7efc33edbc3bbf0181364e40ee7cde9f54e05f55a301aa860de4532c5e919432

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=sha256:1c99278459649a8f7fa17cd9979d29268807563f26d79f72e945abe3ab153fda

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:f3ba80d2be84375d6715b5a663839692825fab49c4fb392244e70bfb9bbdbaff

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:e37dc754e9fbaf08e8f9e77b6a4c1e0ceaf40f17cbceea49c55d4b35ca1b5605

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:a4aa009e2f73fba6efb2f07a78e183443235ef8c29b4a3a4c6d62cc4be7a934a

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=sha256:47f0a6adab61d7dd13d0aebb6a1457e3d9d162948f39d6d91653a4e744092843

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T13:43:21.719925Z digest=sha256:99bb81a7da444add03975e7323cb2a22e99936b9548fbe08d2e8bac565a7e2f0

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:e32474614ecd866a090c210a79e9956bfd508a597cf9ff8bcf39ecfe86e8b248

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=sha256:2aa7e2dcf18a4058ff0714d60155866bde6271b3e2b149f302e531921ec44ae6

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=sha256:5c50b980719fb107fde1bf9bdc213a476a974e0e4b08af69dfefe379eb9822b2

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=sha256:7cb3f7edc7636e4037e6205507f215d1b1473acab6603ff6cc76e7e30e56e47f

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=sha256:558414d4d37973fe6cfd4d7a3812abd1469fc7d46a7e1ceaf72d2b1c5d475cda

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=sha256:29b80f3766c1305edb2823a5b14bc4a9de41810bd2738459747635e0559b8efd

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=sha256:3c33127d3a87d0dc914bfc15d5e5b0b09a7b9443c70a6a64c0207dcd0b4e5ee8

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:e2ddd9f2865bf0a3cfa146cef847a5d9aa2f6c06252561b52322a028f2b25789

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:e86fdf835103c3c3bdc4e20d160efe412273f03658200fb98cb9b4888783a649

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=sha256:78613c9f77e347399e202dc4224abae3b709c1c64ef373a2acbf9c9af5a6f64a

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:cd0855fd9f3660e0b25c7818009c6ec10e8bb5c19e1046cfb490528885fcc711

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T13:43:22.769215Z digest=sha256:5a7d153532485856e6e435e424d91db8921f81f087e91437d3d25ee0c6e7bc75

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:ece91c70e18d79b04bf4b108814b35bfa834c584d1323986f863eee577686dca

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=sha256:979c601c2d9afa1c2536a8e835548c85eb313a8feb1f93655f3b8e2ab50445a7

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=sha256:47ea14b7c46d5f404800f8d8af707520a5704bf7f53739e0c955b1bd14c6458d

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=sha256:0ee5f12f114ce87a14767c71da1f5b0477be793ea82bea0157f3aee38b967200

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:b06edbc8e14ee4ca9dec6893dd3b287ecedd5fdfaf1028599c6af09afde44ca5

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:c7e2667fffb83e51af94732020280d2c3373b44e877f44185a88a258d58ee9a1

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=sha256:833eb2e3c9370f347bc10f9f51d38130e2087929a8033a1d0eb9929ee9dfc01f

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:a25c78e4846d135ddf7a9fb2432eed8bd02d5ec384b4de5c527f86b17fe33cb9

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:c4f1efd7e5506374bb2268299ae5101e6e23bbd335b61c3308b3b59c0e848bfa

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:fd0437cb612b55efe3c2eba9a039be0112c6b8fabdcb64388861e8be643d092f

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=sha256:10147d6ea8146410797df4acbd9195bd3221e7a12b2878d5af707b349e345d63

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=sha256:2548664872e3a1c095af91100898f082d8d3d3baf1d37743df1f455f9c12dd3c

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=sha256:0e262cf4273fc17fdfe91d0b15bd1b4fd76a7ee910cbfd3f6f76c7f6a7aebe09

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:adf09d9615a301bca89cc84a17ee3a625749247b0b4d7637fca211dcc0c5c616

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=sha256:02af55b835c3ba7b8ec446d8d915f5f659e8903e28f5a83c5c1ebd027268c609

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:fb0eb702069646734e10d3c6912ae5bb050c9bb47dac0c69652d104666a487f3

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=sha256:98abe9b58100b14d15169f6acd4421b85c5485912a24d23874239a451b5722df

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-07T13:43:24.027192Z digest=sha256:e040ae9f7b19b7f9cdba845d51b46271438fd01dfc9f03c755fe5aa166434f8c

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:c065f13f975ce47ce753bd5b468a84bd624b625572e7b70fa28cf750363bfa95

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:a67846d204e94e6e576d482cce714b0bd595263be092ce1c76c5741fe62b35e7

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:be7e5304eb7a2557042a15881874de4b6cbc7cd8db3181d1b17ee62bdec8e1c9

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:edebcfc19918086e74fabbf6b6c8198ff2679d6fc6cc7435048a7d209d650600

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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no resolver link, observed 2026-08-07T13:43:24.309202Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:43:24.309202Z digest=sha256:5ebb8260677f4296593d7cdf01a6dae2c01c0ed430d7196aa25c063245d7484a

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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no resolver link, observed 2026-08-07T13:43:24.384589Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-07T13:43:24.384589Z digest=sha256:bf22dfc6e7b1f1b6797e2262947356e180395d8b3319cb13c8a364a5e8a193cb

Pith citing papers

No inbound Pith citation observations are available.