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Paper Citation Record · LEDGER

DMDIntel: Interpreting Large Language Models via Dynamic Mode Decomposition

As of 19 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 0 inbound Pith citation observations for arXiv:2608.13048.

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

pith.paper-citation-record.v1
2608.13048 v1

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T17:58:55.060524Z

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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

35 of 35 outbound references displayed

  • verified exact1
  • verified fuzzy10
  • unresolved22
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 91b36378-7727-4d60-b075-9ad1c1800170 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

DMDIntel: Interpreting Large Language Models via Dynamic Mode Decomposition Advances in Neural Information Processing Systems , volume=

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T17:58:54.938210Z digest=sha256:e666e004232c269bdab8da7d50a71e831c92898f9d0a4e59db55523b04b1e67c

Observation 5b554aa4-afa4-402c-a979-99eef5a2b512 · outbound

This paper cites Mistral 7B.

DMDIntel: Interpreting Large Language Models via Dynamic Mode Decomposition Mistral 7B

Reference 2

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no resolver link, observed 2026-08-15T17:58:54.944748Z

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source=arxiv_source observed=2026-08-15T17:58:54.944748Z digest=sha256:dc09fc270cfb84a6e0c52912ab0ca64011044d853c0a1e0cd7d3156068710adb

Observation 559fcbb5-9b68-40bb-a664-75f6efba29a9 · outbound

This paper cites an unresolved cited work.

DMDIntel: Interpreting Large Language Models via Dynamic Mode Decomposition Unresolved cited work

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T17:58:54.948696Z digest=sha256:a3b134cedfbb82dbd8f1d5740a98b1cdc07c2496a1696e898391c19987365aa7

Observation b22f957e-beab-4469-b9e8-80025fb52eb6 · outbound

This paper cites 2018 , publisher=.

DMDIntel: Interpreting Large Language Models via Dynamic Mode Decomposition 2018 , publisher=

Reference 4

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source=arxiv_source observed=2026-08-15T17:58:54.952096Z digest=sha256:1ed6acf07fbf05e0e16fd0ace1b4259998babe2450a86a0507be3ea143ee519a

Observation aac297b3-35f3-4747-b228-a14f81e07190 · outbound

This paper cites Analyzing Multi-Head Self-Attention: Specialized Heads Do the Heavy Lifting, the Rest Can Be Pruned.

DMDIntel: Interpreting Large Language Models via Dynamic Mode Decomposition Analyzing Multi-Head Self-Attention: Specialized Heads Do the Heavy Lifting, the Rest Can Be Pruned

Reference 5

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source=arxiv_source observed=2026-08-15T17:58:54.955738Z digest=sha256:e853f04aa77dd3b9789532a0b51d71ef7a57ce2e198c02eba58347ab8ca6cc89

Observation f08451a7-2d9c-42d8-a305-fcbcbc316f41 · outbound

This paper cites BERT Rediscovers the Classical NLP Pipeline.

DMDIntel: Interpreting Large Language Models via Dynamic Mode Decomposition BERT Rediscovers the Classical NLP Pipeline

Reference 6

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no resolver link, observed 2026-08-15T17:58:54.959550Z

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source=arxiv_source observed=2026-08-15T17:58:54.959550Z digest=sha256:091efd1c90f4092ef1f22a16bf4ea6e6ae4fefe22d399ebe6645e0426b298d13

Observation 779eb48c-8f0d-4c32-8505-6476652a302f · outbound

This paper cites In-context Learning and Induction Heads.

DMDIntel: Interpreting Large Language Models via Dynamic Mode Decomposition In-context Learning and Induction Heads

Reference 7

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T17:58:54.962965Z digest=sha256:3bbe6d53f63fb0d2977d3fa58273a0bf2de2522fad923721a46f3ffa01836d9f

Observation 69880d2b-a0d4-4fa1-8e3b-73d9528e3d2f · outbound

This paper cites Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing , pages=.

DMDIntel: Interpreting Large Language Models via Dynamic Mode Decomposition Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing , pages=

Reference 8

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no resolver link, observed 2026-08-15T17:58:54.966484Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T17:58:54.966484Z digest=sha256:27b56fbced1de69b688a3d7fee3079a1c2dba53c7ed83667289ebc87ea098273

Observation f8cacdf9-2c6f-4548-909d-d906030a3d6a · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

DMDIntel: Interpreting Large Language Models via Dynamic Mode Decomposition Advances in Neural Information Processing Systems , volume=

Reference 9

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no resolver link, observed 2026-08-15T17:58:54.969781Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T17:58:54.969781Z digest=sha256:02b1a28f75ab23782e678a51cdf22f18aa0d4d175ffe3796bc267b477a027049

Observation bc8436b1-0da6-43b5-96eb-078ee2e30191 · outbound

This paper cites Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing , pages=.

DMDIntel: Interpreting Large Language Models via Dynamic Mode Decomposition Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing , pages=

Reference 10

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verified fuzzy
raw_fallback, observed 2026-08-15T17:58:55.418437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T17:58:54.973413Z digest=sha256:e922741fdd673450018a46667b72179912ef41ea5e01ae3e2f3f4f95decae2a5

Observation e75ed91f-b5e2-432e-9e07-da246c0a2be1 · outbound

This paper cites Journal of Fluid Mechanics , volume=.

DMDIntel: Interpreting Large Language Models via Dynamic Mode Decomposition Journal of Fluid Mechanics , volume=

Reference 11

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verified fuzzy
raw_fallback, observed 2026-08-15T17:58:55.408160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T17:58:54.976919Z digest=sha256:7a225ac49fb385699012ad8b1e1bde0a4c28b4531511db6c88d871de4734cca0

Observation f33a51de-8402-4a5f-9a72-05cf02459e11 · outbound

This paper cites Journal of Open Source Software , year =.

DMDIntel: Interpreting Large Language Models via Dynamic Mode Decomposition Journal of Open Source Software , year =

Reference 12

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unresolved
no resolver link, observed 2026-08-15T17:58:54.980258Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T17:58:54.980258Z digest=sha256:4ceb81e54be0b2a767181804de28179133cf1411af797afee8c1c3671a6cddd6

Observation bca81066-4910-4c07-b069-3c34e33cdcc3 · outbound

This paper cites and Mezic, Igor and Bagheri, Shervin and Schlatter, Phillpp and Henningson, Dan S.

DMDIntel: Interpreting Large Language Models via Dynamic Mode Decomposition and Mezic, Igor and Bagheri, Shervin and Schlatter, Phillpp and Henningson, Dan S

Reference 13

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no resolver link, observed 2026-08-15T17:58:54.983930Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T17:58:54.983930Z digest=sha256:67dd4ea60f526723985e62a416dc9307f6ef129eaed954ca17056fa47c05acfd

Observation b35e5df6-d362-4302-9cfb-7f68b8eb3689 · outbound

This paper cites Noack , title =.

DMDIntel: Interpreting Large Language Models via Dynamic Mode Decomposition Noack , title =

Reference 14

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verified exact
doi, observed 2026-08-15T17:58:55.099616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T17:58:54.987648Z digest=sha256:9040bc1449186fbdb7e1eb997cd77a2c5f9ff7e988b47de3553209a522e03f01

Observation a17cc3b5-f3c3-4dcb-8c63-ee1889c0ffbe · outbound

This paper cites The Llama 3 Herd of Models.

DMDIntel: Interpreting Large Language Models via Dynamic Mode Decomposition The Llama 3 Herd of Models

Reference 15

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T17:58:54.990992Z digest=sha256:e6c5f7619e0c40855560907ddc5dbb668be179f7864025130504f9e6a8d9f9f5

Observation bbd22060-6ddf-4037-837e-db75cacd0836 · outbound

This paper cites Qwen3 Technical Report.

DMDIntel: Interpreting Large Language Models via Dynamic Mode Decomposition Qwen3 Technical Report

Reference 16

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T17:58:54.994719Z digest=sha256:f3969eca2bf717dd72e9c1760aef6704d7e9db94a3c94b1553d62080b27deed5

Observation 4cb92635-2086-4d71-8f06-5ea4e110090c · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

DMDIntel: Interpreting Large Language Models via Dynamic Mode Decomposition Advances in Neural Information Processing Systems , volume=

Reference 17

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T17:58:54.998527Z digest=sha256:b0d42d0987a3cad9976706f35d9479355169c4f05dbd4c1614963c1739a0a8c8

Observation b309da70-39d7-4138-986a-f2a34d907baf · outbound

This paper cites Proceedings of the twelfth language resources and evaluation conference , pages=.

DMDIntel: Interpreting Large Language Models via Dynamic Mode Decomposition Proceedings of the twelfth language resources and evaluation conference , pages=

Reference 18

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no resolver link, observed 2026-08-15T17:58:55.002109Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T17:58:55.002109Z digest=sha256:c2bc4cf38228cf1fcc45a5e180177ca96b19775d00a1fd06d2d059d51f408341

Observation a514e805-3ebf-43a4-ad9a-414c67421b94 · outbound

This paper cites Proceedings of the AAAI conference on artificial intelligence , volume=.

DMDIntel: Interpreting Large Language Models via Dynamic Mode Decomposition Proceedings of the AAAI conference on artificial intelligence , volume=

Reference 19

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T17:58:55.005340Z digest=sha256:59b100619f6b7c71e6a240329eb403784830140bcb6c61e8927f1996b459596d

Observation 605f69b8-da77-4b9e-825c-13df90a89aa9 · outbound

This paper cites International Conference on Machine Learning , pages=.

DMDIntel: Interpreting Large Language Models via Dynamic Mode Decomposition International Conference on Machine Learning , pages=

Reference 20

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no resolver link, observed 2026-08-15T17:58:55.008706Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-15T17:58:55.008706Z digest=sha256:0a2fe0b19ee58c336354818cd5dd789b7684c808f11bbb418e0227b89b67639a

Observation 42f4bcbe-e20a-446a-8119-25eec8a57364 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

DMDIntel: Interpreting Large Language Models via Dynamic Mode Decomposition Advances in Neural Information Processing Systems , volume=

Reference 21

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no resolver link, observed 2026-08-15T17:58:55.011931Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T17:58:55.011931Z digest=sha256:098f09e60318ab8dbc6f693abc5a1a40882214b29221a5b0c8eb63c1b7bcde03

Observation 02dd5a0d-3cd4-4853-b7a4-509d7b9b4dda · outbound

This paper cites Higher Order Dynamic Mode Decomposition , journal =.

DMDIntel: Interpreting Large Language Models via Dynamic Mode Decomposition Higher Order Dynamic Mode Decomposition , journal =

Reference 22

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no resolver link, observed 2026-08-15T17:58:55.015325Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-15T17:58:55.015325Z digest=sha256:579aa256f05eef8a11a92494cdd88835eddffab3dbdd54e908ea6f3e6cf46fb0

Observation 565d09d1-b1b8-45f3-a750-66ce8987c78a · outbound

This paper cites Linearity of Relation Decoding in Transformer Language Models.

DMDIntel: Interpreting Large Language Models via Dynamic Mode Decomposition Linearity of Relation Decoding in Transformer Language Models

Reference 23

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no resolver link, observed 2026-08-15T17:58:55.018656Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T17:58:55.018656Z digest=sha256:cedc48a41ee60fbfbd8a55767f86da77d2624e62a426b605a5621a9ed58dae84

Observation b63db43f-89cf-4ffa-838b-4be887bbbf91 · outbound

This paper cites GPT-4 Technical Report.

DMDIntel: Interpreting Large Language Models via Dynamic Mode Decomposition GPT-4 Technical Report

Reference 24

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no resolver link, observed 2026-08-15T17:58:55.022405Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T17:58:55.022405Z digest=sha256:5fe6197101d0a701c3e44a7f8ae31ad97c70e0d2dd505e88481927abff345fff

Observation 2d1ee7fe-9f46-4876-a373-5c66707b2bef · outbound

This paper cites ACM Trans.

DMDIntel: Interpreting Large Language Models via Dynamic Mode Decomposition ACM Trans

Reference 25

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no resolver link, observed 2026-08-15T17:58:55.026103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T17:58:55.026103Z digest=sha256:754bac7b1753ec3b048546ab6ae46e52e602bb6b818315384fdd8df5d745ed20

Observation 9fc32b47-555e-4fe4-b275-06f96034cf08 · outbound

This paper cites Theoretical and Computational Fluid Dynamics , volume=.

DMDIntel: Interpreting Large Language Models via Dynamic Mode Decomposition Theoretical and Computational Fluid Dynamics , volume=

Reference 26

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verified fuzzy
raw_fallback, observed 2026-08-15T17:58:55.359963Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T17:58:55.029616Z digest=sha256:e02a6b3923232cdc01a21e78244f9c0e7b0be9fe7262214a7c0cb597f0e52f20

Observation aece1b3b-5d1f-4ed2-9a8e-2f72e65f7799 · outbound

This paper cites 2013 , publisher=.

DMDIntel: Interpreting Large Language Models via Dynamic Mode Decomposition 2013 , publisher=

Reference 27

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verified fuzzy
raw_fallback, observed 2026-08-15T17:58:55.349162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T17:58:55.032917Z digest=sha256:f9251cabd3c1501f23e66f8366413f5dfdd42eb162aea47cf8aabf5f96535fd6

Observation 5b47c51b-2115-471e-9fc1-69d77f185fc7 · outbound

This paper cites Captum: A unified and generic model interpretability library for PyTorch.

DMDIntel: Interpreting Large Language Models via Dynamic Mode Decomposition Captum: A unified and generic model interpretability library for PyTorch

Reference 28

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unresolved
no resolver link, observed 2026-08-15T17:58:55.036175Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T17:58:55.036175Z digest=sha256:4d07dd99ac16443fe158c716283ed542903d3d32aabb80156611ffb3b1d90045

Observation 0840deb6-5824-49ff-8890-d4a6285b68e5 · outbound

This paper cites Eliciting Latent Predictions from Transformers with the Tuned Lens.

DMDIntel: Interpreting Large Language Models via Dynamic Mode Decomposition Eliciting Latent Predictions from Transformers with the Tuned Lens

Reference 29

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unresolved
no resolver link, observed 2026-08-15T17:58:55.039914Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T17:58:55.039914Z digest=sha256:1777537d7cdd4f54cd128d5fc3813fa15933b81a4641c0ce5787d6ce6fbfb464

Observation 7d100ccc-08cd-4b54-9537-3478a2233daa · outbound

This paper cites Journal of Real-Time Image Processing , volume=.

DMDIntel: Interpreting Large Language Models via Dynamic Mode Decomposition Journal of Real-Time Image Processing , volume=

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T17:58:55.338747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T17:58:55.043556Z digest=sha256:1904fa07eb23008e8ea6b0fa7502351a30a0df07a4dd9be59e043ece96c17151

Observation 98cdcb69-5663-4867-b030-e7141a9494f1 · outbound

This paper cites 2016 , publisher=.

DMDIntel: Interpreting Large Language Models via Dynamic Mode Decomposition 2016 , publisher=

Reference 31

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verified fuzzy
raw_fallback, observed 2026-08-15T17:58:55.327033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T17:58:55.046697Z digest=sha256:8481ac9630c7f34031dc491c83dd5a033d51868b3de293ada8b2b324fff607c6

Observation e7c49eb9-eb7f-45a5-83fa-c15c3931aa06 · outbound

This paper cites Proceedings of the 16th IEEE International Conference on Computer Vision (ICCV), Venice, Italy , pages=.

DMDIntel: Interpreting Large Language Models via Dynamic Mode Decomposition Proceedings of the 16th IEEE International Conference on Computer Vision (ICCV), Venice, Italy , pages=

Reference 32

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verified fuzzy
raw_fallback, observed 2026-08-15T17:58:55.316622Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T17:58:55.049946Z digest=sha256:2f5374aa6446d4b299607078c486305005cf92c17bf785152f4cea9938da4752

Observation 89b54b7c-3f4b-40fd-8a3c-6d19451fd150 · outbound

This paper cites Intelligent Systems, Technologies and Applications: Proceedings of ISTA 2018 , pages=.

DMDIntel: Interpreting Large Language Models via Dynamic Mode Decomposition Intelligent Systems, Technologies and Applications: Proceedings of ISTA 2018 , pages=

Reference 33

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verified fuzzy
raw_fallback, observed 2026-08-15T17:58:55.305818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T17:58:55.053101Z digest=sha256:03ecf418bbb4fbb7cdb8527363aae36bbb1ba8660eff61fab0a000bb44e23ec0

Observation d4a91736-21fc-496b-bba4-2941cf330f28 · outbound

This paper cites EigenEmo: Spectral Utterance Representation Using Dynamic Mode Decomposition for Speech Emotion Classification.

DMDIntel: Interpreting Large Language Models via Dynamic Mode Decomposition EigenEmo: Spectral Utterance Representation Using Dynamic Mode Decomposition for Speech Emotion Classification

Reference 34

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metadata mismatch
local_arxiv, observed 2026-08-15T17:58:55.154025Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T17:58:55.056547Z digest=sha256:dcad1c596cc796188396346269a329e5616ca5562aa335ff849d83a5e3886e7e

Observation 83e2c55f-2cdd-45f2-a7d3-0298256b53cb · outbound

This paper cites Offensive Language Detection: A Comparative Analysis.

DMDIntel: Interpreting Large Language Models via Dynamic Mode Decomposition Offensive Language Detection: A Comparative Analysis

Reference 35

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metadata mismatch
local_arxiv, observed 2026-08-15T17:58:55.140068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-15T17:58:55.060524Z digest=sha256:7e0c9e912f97857038d089c2e117304eb6c860f1b3114fd4a93209abdfad455b

Pith citing papers

No inbound Pith citation observations are available.