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Paper Citation Record · LEDGER

Interpreting Black-Box Large Language Models with Sentence-Level Energy Landscapes

As of 17 August 2026, this Paper Citation Record lists 53 of 53 outbound references and 0 inbound Pith citation observations for arXiv:2608.02879.

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

pith.paper-citation-record.v1
2608.02879 v1

Coverage vector

measured 53 of 53 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T15:02:15.848389Z

measured 53 of 53 standing notices

One-hop event checks from named stored sources.

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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

53 of 53 outbound references displayed

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External citation measurements

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Outbound references

Observation 3b3c5ec3-0007-4c86-8419-907851b54d59 · outbound

This paper cites Second Conference on Language Modeling , year=.

Interpreting Black-Box Large Language Models with Sentence-Level Energy Landscapes Second Conference on Language Modeling , year=

Reference 1

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This paper cites Proceedings of the 35th International Conference on Machine Learning , pages=.

Interpreting Black-Box Large Language Models with Sentence-Level Energy Landscapes Proceedings of the 35th International Conference on Machine Learning , pages=

Reference 2

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Interpreting Black-Box Large Language Models with Sentence-Level Energy Landscapes The Thirteenth International Conference on Learning Representations , year=

Reference 3

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Interpreting Black-Box Large Language Models with Sentence-Level Energy Landscapes The Thirteenth International Conference on Learning Representations , year=

Reference 4

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This paper cites The Thirteenth International Conference on Learning Representations , year=.

Interpreting Black-Box Large Language Models with Sentence-Level Energy Landscapes The Thirteenth International Conference on Learning Representations , year=

Reference 5

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Interpreting Black-Box Large Language Models with Sentence-Level Energy Landscapes 2025 , eprint=

Reference 6

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Interpreting Black-Box Large Language Models with Sentence-Level Energy Landscapes 2026 , eprint=

Reference 7

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Interpreting Black-Box Large Language Models with Sentence-Level Energy Landscapes 1991 , publisher=

Reference 8

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Interpreting Black-Box Large Language Models with Sentence-Level Energy Landscapes 1998 , publisher=

Reference 9

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This paper cites Predicting structured data , volume=.

Interpreting Black-Box Large Language Models with Sentence-Level Energy Landscapes Predicting structured data , volume=

Reference 10

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Interpreting Black-Box Large Language Models with Sentence-Level Energy Landscapes 2023 , eprint=

Reference 11

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This paper cites Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) , year =.

Interpreting Black-Box Large Language Models with Sentence-Level Energy Landscapes Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) , year =

Reference 12

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This paper cites Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing: System Demonstrations , year =.

Interpreting Black-Box Large Language Models with Sentence-Level Energy Landscapes Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing: System Demonstrations , year =

Reference 13

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This paper cites 2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) , year =.

Interpreting Black-Box Large Language Models with Sentence-Level Energy Landscapes 2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) , year =

Reference 14

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This paper cites Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing , year =.

Interpreting Black-Box Large Language Models with Sentence-Level Energy Landscapes Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing , year =

Reference 15

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Interpreting Black-Box Large Language Models with Sentence-Level Energy Landscapes , title =

Reference 16

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Interpreting Black-Box Large Language Models with Sentence-Level Energy Landscapes , title =

Reference 17

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This paper cites Cumulated gain-based evaluation of IR techniques , journal =.

Interpreting Black-Box Large Language Models with Sentence-Level Energy Landscapes Cumulated gain-based evaluation of IR techniques , journal =

Reference 18

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Interpreting Black-Box Large Language Models with Sentence-Level Energy Landscapes International Conference on Learning Representations , year =

Reference 19

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Interpreting Black-Box Large Language Models with Sentence-Level Energy Landscapes Proceedings of the 34th International Conference on Machine Learning , year =

Reference 20

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Interpreting Black-Box Large Language Models with Sentence-Level Energy Landscapes Findings of the Association for Computational Linguistics , year =

Reference 21

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Interpreting Black-Box Large Language Models with Sentence-Level Energy Landscapes International Conference on Learning Representations , year =

Reference 22

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This paper cites Real or Fake? Learning to Discriminate Machine from Human Generated Text.

Interpreting Black-Box Large Language Models with Sentence-Level Energy Landscapes Real or Fake? Learning to Discriminate Machine from Human Generated Text

Reference 23

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Interpreting Black-Box Large Language Models with Sentence-Level Energy Landscapes Journal of Machine Learning Research , year =

Reference 24

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Interpreting Black-Box Large Language Models with Sentence-Level Energy Landscapes Large Concept Models: Language Modeling in a Sentence Representation Space

Reference 25

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Interpreting Black-Box Large Language Models with Sentence-Level Energy Landscapes Unresolved cited work

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Interpreting Black-Box Large Language Models with Sentence-Level Energy Landscapes Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , year =

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Interpreting Black-Box Large Language Models with Sentence-Level Energy Landscapes International Conference on Learning Representations , year =

Reference 28

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Interpreting Black-Box Large Language Models with Sentence-Level Energy Landscapes Towards A Rigorous Science of Interpretable Machine Learning

Reference 30

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Interpreting Black-Box Large Language Models with Sentence-Level Energy Landscapes Findings of the Association for Computational Linguistics: ACL 2024 , year =

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Interpreting Black-Box Large Language Models with Sentence-Level Energy Landscapes Proceedings of the 41st International Conference on Machine Learning , year =

Reference 32

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Interpreting Black-Box Large Language Models with Sentence-Level Energy Landscapes Word Importance Explains How Prompts Affect Language Model Outputs

Reference 33

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Interpreting Black-Box Large Language Models with Sentence-Level Energy Landscapes Fatemeh Seyyedsalehi and Mahdieh Soleymani Baghshah and Hamid R

Reference 34

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Interpreting Black-Box Large Language Models with Sentence-Level Energy Landscapes Proceedings of the AAAI Conference on Artificial Intelligence , year =

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Interpreting Black-Box Large Language Models with Sentence-Level Energy Landscapes , title =

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Unavailable: canonical work link unavailable.

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Observation 1340d12b-d902-42f8-9996-f565f1fa99fd · outbound

This paper cites Proceedings of the 35th International Conference on Machine Learning , year =.

Interpreting Black-Box Large Language Models with Sentence-Level Energy Landscapes Proceedings of the 35th International Conference on Machine Learning , year =

Reference 37

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation a21ac537-64d6-47f0-8e67-83ae4d0568c3 · outbound

This paper cites Understanding Neural Networks through Representation Erasure.

Interpreting Black-Box Large Language Models with Sentence-Level Energy Landscapes Understanding Neural Networks through Representation Erasure

Reference 38

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Unavailable: canonical work link unavailable.

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Observation e3640351-9f6c-4f7b-91a8-87207287a7ce · outbound

This paper cites and Lee, Su-In , title =.

Interpreting Black-Box Large Language Models with Sentence-Level Energy Landscapes and Lee, Su-In , title =

Reference 39

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 0ab6fd67-22b1-43b6-95ef-2e47e789a927 · outbound

This paper cites an unresolved cited work.

Interpreting Black-Box Large Language Models with Sentence-Level Energy Landscapes Unresolved cited work

Reference 40

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 6d9fa189-ec7c-4cb7-b44b-1c857e3aa61c · outbound

This paper cites Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining , year =.

Interpreting Black-Box Large Language Models with Sentence-Level Energy Landscapes Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining , year =

Reference 41

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 56c5332a-d5f7-4d6a-bc20-c19353ee76d6 · outbound

This paper cites Artificial Intelligence Review , year =.

Interpreting Black-Box Large Language Models with Sentence-Level Energy Landscapes Artificial Intelligence Review , year =

Reference 42

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 4fdbef32-3150-4a65-a588-04ffa137eed1 · outbound

This paper cites Proceedings of the 34th International Conference on Machine Learning , year =.

Interpreting Black-Box Large Language Models with Sentence-Level Energy Landscapes Proceedings of the 34th International Conference on Machine Learning , year =

Reference 43

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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 2026-08-17T06:30:58.91139+00:00.

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Observation 21428103-c73f-4cb2-b603-d492bb73369f · outbound

This paper cites International Conference on Learning Representations (Workshop Track) , year =.

Interpreting Black-Box Large Language Models with Sentence-Level Energy Landscapes International Conference on Learning Representations (Workshop Track) , year =

Reference 44

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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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T15:02:15.814077Z digest=sha256:ce3d80a35f88a05717f2d679b6807c15c1fe00ad207e7a717832000e583c1b36

Observation 6497a34b-4544-4302-a741-60bd9ffc83a4 · outbound

This paper cites Proceedings of the 34th International Conference on Machine Learning , year =.

Interpreting Black-Box Large Language Models with Sentence-Level Energy Landscapes Proceedings of the 34th International Conference on Machine Learning , year =

Reference 45

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation dd4b3b65-9ad7-4c37-9699-3a678bdf8e94 · outbound

This paper cites Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics , year =.

Interpreting Black-Box Large Language Models with Sentence-Level Energy Landscapes Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics , year =

Reference 46

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 6ccdbab8-4e95-4ac8-818a-08c4a9ffceb5 · outbound

This paper cites , title =.

Interpreting Black-Box Large Language Models with Sentence-Level Energy Landscapes , title =

Reference 47

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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 2026-08-17T06:30:58.91139+00:00.

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Observation 5a847628-7000-4aaa-8ddf-86d602ff654d · outbound

This paper cites and Le, Quoc V and Zhou, Denny , title =.

Interpreting Black-Box Large Language Models with Sentence-Level Energy Landscapes and Le, Quoc V and Zhou, Denny , title =

Reference 48

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T15:02:15.828873Z digest=sha256:13260f9c5379ad3545af1fe07790ee05d1da9c4b464cdbe073ebe55a167f3da7

Observation 2d54c46f-f8d7-4280-a614-f534b2bb141b · outbound

This paper cites Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , year =.

Interpreting Black-Box Large Language Models with Sentence-Level Energy Landscapes Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , year =

Reference 49

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unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T15:02:15.832638Z digest=sha256:0ebfa4c30e79e86b53573a6d3f2d0b14fb0a47e7746121f8f0c0936da39460ad

Observation b69fbfcd-4998-4b54-93b1-38419095904c · outbound

This paper cites Proceedings of the 32nd International Conference on Machine Learning , year =.

Interpreting Black-Box Large Language Models with Sentence-Level Energy Landscapes Proceedings of the 32nd International Conference on Machine Learning , year =

Reference 50

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T15:02:15.836438Z digest=sha256:a4b342a412fb1ac38d865e682807c741c1b07711a7082fdec0da980d35e9c678

Observation 7ed6c61d-0e61-4503-9f43-2f8563538bfb · outbound

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

Interpreting Black-Box Large Language Models with Sentence-Level Energy Landscapes Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing , year =

Reference 51

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unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation af2a7f0d-4593-4d26-9c59-4cf984ec94e4 · outbound

This paper cites Proceedings of the AAAI 2024 Workshop on Responsible Language Models (ReLM) , year =.

Interpreting Black-Box Large Language Models with Sentence-Level Energy Landscapes Proceedings of the AAAI 2024 Workshop on Responsible Language Models (ReLM) , year =

Reference 52

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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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T15:02:15.844584Z digest=sha256:ca9c9da7c71c86678e1aadb3976e7285ff24013a2c77160a456a899eac6d570b

Observation 792dbb6f-41d4-445b-b3e2-c8ef64499719 · outbound

This paper cites International Conference on Learning Representations , year =.

Interpreting Black-Box Large Language Models with Sentence-Level Energy Landscapes International Conference on Learning Representations , year =

Reference 53

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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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-15T15:02:15.848389Z digest=sha256:38d0a4e0f4f6feca44c5ee2954d30efef26fe022dab93b24d10e7d093ee4299f

Pith citing papers

No inbound Pith citation observations are available.