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Paper Citation Record · LEDGER

SAGE: Signal-Amplified Guided Embeddings for LLM-based Vulnerability Detection

As of 5 August 2026, this Paper Citation Record lists 67 of 67 outbound references and 0 inbound Pith citation observations for arXiv:2604.19031.

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

pith.paper-citation-record.v1
2604.19031 v1

Coverage vector

measured 67 of 67 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-10T03:15:00.867443Z

measured 67 of 67 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+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

67 of 67 outbound references displayed

  • verified exact34
  • verified fuzzy8
  • unresolved8
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch16

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 40ef9236-9bae-46af-9b3d-efd1ff627c49 · outbound

This paper cites Towards Monosemanticity: Decomposing Language Models With Dictionary Learning.

SAGE: Signal-Amplified Guided Embeddings for LLM-based Vulnerability Detection Towards Monosemanticity: Decomposing Language Models With Dictionary Learning

Reference 1

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verified fuzzy
raw_fallback, observed 2026-05-22T17:26:50.718423Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 4f93fd37-466e-4149-bd0c-a0434b0c89c8 · outbound

This paper cites ChatGPT-5.2-Codex.

SAGE: Signal-Amplified Guided Embeddings for LLM-based Vulnerability Detection ChatGPT-5.2-Codex

Reference 2

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verified fuzzy
raw_fallback, observed 2026-05-22T17:26:50.731832Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 3d49880e-283b-4cad-9a2d-b09cf2283ef5 · outbound

This paper cites Claude-Opus-4.5.

SAGE: Signal-Amplified Guided Embeddings for LLM-based Vulnerability Detection Claude-Opus-4.5

Reference 3

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verified fuzzy
raw_fallback, observed 2026-05-22T17:26:50.711561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T03:15:00.867443Z digest=sha256:c36073d6c1eb355ad308b7ff63777c1fcca04cd6aebc20a31455f21c0e524f91

Observation 6f594627-f021-4c78-875a-d1dd0896dad9 · outbound

This paper cites Gemini-3-pro.

SAGE: Signal-Amplified Guided Embeddings for LLM-based Vulnerability Detection Gemini-3-pro

Reference 4

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verified fuzzy
raw_fallback, observed 2026-05-22T17:26:50.721696Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T03:15:00.867443Z digest=sha256:10d1dd50448ebd98cd964cd17e8f975b9e3433d1512547f58c8912e281b890b6

Observation 8633ab9d-9495-4707-9da3-84160eed9b01 · outbound

This paper cites an unresolved cited work.

SAGE: Signal-Amplified Guided Embeddings for LLM-based Vulnerability Detection Unresolved cited work

Reference 5

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unresolved
raw_fallback, observed 2026-05-22T17:26:50.714876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T03:15:00.867443Z digest=sha256:5b7db3a55099bb76334e2994f01c5858b49fa2f9051c7e5ff690556ff41b075d

Observation 935510e6-f97b-4f5a-9d93-109872534530 · outbound

This paper cites A few billion lines of code later: Using static analysis to find bugs in the real world.Communications of the ACM, 53(2):66–75.

SAGE: Signal-Amplified Guided Embeddings for LLM-based Vulnerability Detection A few billion lines of code later: Using static analysis to find bugs in the real world.Communications of the ACM, 53(2):66–75

Reference 6

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verified exact
arxiv_id, observed 2026-05-10T03:19:14.724298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T03:15:00.867443Z digest=sha256:5bebe99db664d0e811be793e7ef271123828cfc1656c598df16f839a4af52111

Observation 24698385-fc48-4009-bf49-e565206c7273 · outbound

This paper cites , month = aug, year =.

SAGE: Signal-Amplified Guided Embeddings for LLM-based Vulnerability Detection , month = aug, year =

Reference 7

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verified exact
doi, observed 2026-05-10T03:19:14.728340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T03:15:00.867443Z digest=sha256:690d81e0680400483a017bcd1cff5f838b3d2fcc4cd0d0178e931eaae7ecdef7

Observation 85393e68-e0c4-4ab2-a863-c8e6c1e5358c · outbound

This paper cites IEEE Transactions on Software Engineering50(8), 2163–2177 (2024).

SAGE: Signal-Amplified Guided Embeddings for LLM-based Vulnerability Detection IEEE Transactions on Software Engineering50(8), 2163–2177 (2024)

Reference 8

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verified exact
arxiv_id, observed 2026-05-10T03:19:14.709567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T03:15:00.867443Z digest=sha256:8de846c146cf91a972f6c28537f2856da6a06f513fd660c01af76798168ad692

Observation 43d168e1-bba3-4b2f-9595-174566c32826 · outbound

This paper cites an unresolved cited work.

SAGE: Signal-Amplified Guided Embeddings for LLM-based Vulnerability Detection Unresolved cited work

Reference 9

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verified exact
doi, observed 2026-05-10T03:19:14.702257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T03:15:00.867443Z digest=sha256:2ef815adf756d3a172351ed7737de55afd67d3f66a9124f6bdc73c8c87648e78

Observation 333b7f7e-afbd-4e72-b686-65413a22d92b · outbound

This paper cites BMC 28 Genomics21(1), 6 (2020) https://doi.org/10.1186/s12864-019-6413-7.

SAGE: Signal-Amplified Guided Embeddings for LLM-based Vulnerability Detection BMC 28 Genomics21(1), 6 (2020) https://doi.org/10.1186/s12864-019-6413-7

Reference 10

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verified exact
doi, observed 2026-05-10T03:19:14.730070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T03:15:00.867443Z digest=sha256:ab1dd67471b81d437fca33288b5bc6fbe309527d513fffa0f9e865007b20051a

Observation e2dd9a3b-b522-4406-9eba-696fa0de3c7f · outbound

This paper cites In 45th IEEE/ACM International Conference on Software Engineering, ICSE 2023, Melbourne, Australia, May 14-20.

SAGE: Signal-Amplified Guided Embeddings for LLM-based Vulnerability Detection In 45th IEEE/ACM International Conference on Software Engineering, ICSE 2023, Melbourne, Australia, May 14-20

Reference 11

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arxiv_id, observed 2026-05-10T03:19:14.763949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T03:15:00.867443Z digest=sha256:3dd36eee76060ada0e1bec2f003285f4718e777d9d619213b397d7be5a0cf83f

Observation 23009af3-c2f1-4b73-8728-08023f21dd67 · outbound

This paper cites an unresolved cited work.

SAGE: Signal-Amplified Guided Embeddings for LLM-based Vulnerability Detection Unresolved cited work

Reference 12

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verified exact
arxiv_id, observed 2026-05-10T03:19:14.711991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T03:15:00.867443Z digest=sha256:1059ad62a5cbdc7a8b9b69095c4a37a2d98248913efdae53debf475b38ec78fa

Observation befe646e-32be-4983-ad86-e754d00fd5ee · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

SAGE: Signal-Amplified Guided Embeddings for LLM-based Vulnerability Detection DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 13

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metadata mismatch
local_arxiv, observed 2026-05-10T03:19:14.726597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T03:15:00.867443Z digest=sha256:563823b029ebb10121acf10c91e1e3689f2ee4d3569ad5c1b684656a03f2e752

Observation 34dc13f4-c435-45b9-b6aa-18001ed7cf00 · outbound

This paper cites PentestGPT: An LLM-empowered Automatic Penetration Testing Tool.

SAGE: Signal-Amplified Guided Embeddings for LLM-based Vulnerability Detection PentestGPT: An LLM-empowered Automatic Penetration Testing Tool

Reference 14

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verified exact
arxiv_id, observed 2026-05-10T03:19:14.700609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T03:15:00.867443Z digest=sha256:eb1aa5e9bf68467eb9d83d75ad8f6ae6bb09a76a3968f90a7969b4051cab97e2

Observation 36504c1a-4a8a-41f5-b8c8-038c3318922b · outbound

This paper cites Wagner, Baishakhi Ray, and Yizheng Chen.

SAGE: Signal-Amplified Guided Embeddings for LLM-based Vulnerability Detection Wagner, Baishakhi Ray, and Yizheng Chen

Reference 15

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verified fuzzy
raw_fallback, observed 2026-05-22T17:26:50.725065Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T03:15:00.867443Z digest=sha256:eea985bddbc5c2ff99351babe7b212cb5542fda5b4148b1d986735e9d5712112

Observation 0775730c-da3a-4065-a128-5b0653d527f4 · outbound

This paper cites 2025.IRFuzzer: Specialized Fuzzing for LLVM Backend Code Generation.

SAGE: Signal-Amplified Guided Embeddings for LLM-based Vulnerability Detection 2025.IRFuzzer: Specialized Fuzzing for LLVM Backend Code Generation

Reference 16

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metadata mismatch
arxiv_id, observed 2026-05-10T03:19:14.707156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T03:15:00.867443Z digest=sha256:c9afbee4081a1dc68766b6053da112cdbb3573d872355e509748cfb954c2be5a

Observation a8ceda09-91d2-4c0b-a560-7f06b47725d7 · outbound

This paper cites an unresolved cited work.

SAGE: Signal-Amplified Guided Embeddings for LLM-based Vulnerability Detection Unresolved cited work

Reference 17

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verified exact
doi, observed 2026-05-10T03:19:14.738739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T03:15:00.867443Z digest=sha256:e40bb742a0f5e68dfe369664c16e42faeedaca35abea3c5a57ed4cf95184cadc

Observation 0be43199-2fed-46b6-8ddf-80c15337ad05 · outbound

This paper cites In: Proceedings of the 17th International Conference on Mining Software Repositories.

SAGE: Signal-Amplified Guided Embeddings for LLM-based Vulnerability Detection In: Proceedings of the 17th International Conference on Mining Software Repositories

Reference 18

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metadata mismatch
arxiv_id, observed 2026-05-10T03:19:14.697985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T03:15:00.867443Z digest=sha256:d0b4d88e67f1dc0e6bcaeb5da9bb455f0f0530d388b60db4fddd770f14045790

Observation b544d822-6a68-4c9b-a911-6f50a1a5ea1f · outbound

This paper cites CodeBERT: A pre-trained model for programming and natural languages.

SAGE: Signal-Amplified Guided Embeddings for LLM-based Vulnerability Detection CodeBERT: A pre-trained model for programming and natural languages

Reference 19

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verified exact
doi, observed 2026-05-10T03:19:14.666566Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T03:15:00.867443Z digest=sha256:09533ee27a02cff686eeca3ac1f413fcc252eca8d52633c6b3268a28f78ffcd0

Observation e838fdfc-0d4f-45cf-90de-c150528c07cc · outbound

This paper cites LineVul: A transformer-based line- level vulnerability prediction.

SAGE: Signal-Amplified Guided Embeddings for LLM-based Vulnerability Detection LineVul: A transformer-based line- level vulnerability prediction

Reference 20

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verified exact
arxiv_id, observed 2026-05-10T03:19:14.684046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T03:15:00.867443Z digest=sha256:b0e9e7440530e0295f668ad4d39d0e38c247503f58083bb8a3db4d5b24e4a28a

Observation eb50826c-7cef-4705-9192-4d20c8a36969 · outbound

This paper cites UniXcoder: Unified cross-modal pre-training for code representation.

SAGE: Signal-Amplified Guided Embeddings for LLM-based Vulnerability Detection UniXcoder: Unified cross-modal pre-training for code representation

Reference 21

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verified exact
doi, observed 2026-05-10T03:19:14.664564Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T03:15:00.867443Z digest=sha256:bab0c37da54888a117d64db2db3f4c721cef6c2ceb09df4635eb02eba1f9856a

Observation 71599b1b-80a3-4373-8a13-d994ee03fc27 · outbound

This paper cites In Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security.

SAGE: Signal-Amplified Guided Embeddings for LLM-based Vulnerability Detection In Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security

Reference 22

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metadata mismatch
arxiv_id, observed 2026-05-10T03:19:14.691754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T03:15:00.867443Z digest=sha256:4d3e19acb8cb782b5a24fbe516187804b441aa41c5512899cc0c2b14236e66fd

Observation cbc82ac3-98e2-4435-98fa-34229e2683ce · outbound

This paper cites In: Advances in Neural Information Processing Systems, Curran Associates, Inc., vol 34, pp 27,865–27,876,https://proceedings.

SAGE: Signal-Amplified Guided Embeddings for LLM-based Vulnerability Detection In: Advances in Neural Information Processing Systems, Curran Associates, Inc., vol 34, pp 27,865–27,876,https://proceedings

Reference 23

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arxiv_id, observed 2026-05-10T03:19:14.676660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T03:15:00.867443Z digest=sha256:dfb30a4724aab8701deab97ded90a9624839dbcb444ddcba68cd612ab442a877

Observation f1195054-0033-40fc-a21f-c4beaae079cd · outbound

This paper cites Qwen2.5-Coder Technical Report.

SAGE: Signal-Amplified Guided Embeddings for LLM-based Vulnerability Detection Qwen2.5-Coder Technical Report

Reference 24

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verified exact
arxiv_id, observed 2026-05-10T12:33:39.124611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T03:15:00.867443Z digest=sha256:f8f0c9a3c51a6c2f15e6b0e156ffa7b598a36d5fed8dd11e8440839fcafb82f8

Observation 23232094-2861-4d18-b314-61a44d7fa249 · outbound

This paper cites Mistral 7B.

SAGE: Signal-Amplified Guided Embeddings for LLM-based Vulnerability Detection Mistral 7B

Reference 25

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verified exact
local_arxiv, observed 2026-05-10T03:19:14.686238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T03:15:00.867443Z digest=sha256:1bc597e8c60d857469cf9b62db42d7f00716f08d65bbfc74b3001a110ee45bd0

Observation 26679f0d-f5e5-4ad1-8869-83efef9f35d4 · outbound

This paper cites Masked image pretraining on language assisted representation.

SAGE: Signal-Amplified Guided Embeddings for LLM-based Vulnerability Detection Masked image pretraining on language assisted representation

Reference 26

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metadata mismatch
arxiv_id, observed 2026-05-10T03:19:14.671751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T03:15:00.867443Z digest=sha256:57d97efccc53e69a1d2b69ce12a6ccc0033bd410f9a32481fe445882fe7d9916

Observation 849530db-72d4-4e7d-b267-eb043157b4c8 · outbound

This paper cites InProceedings of the 29th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering (Athens, Greece)(ESEC/FSE 2021).

SAGE: Signal-Amplified Guided Embeddings for LLM-based Vulnerability Detection InProceedings of the 29th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering (Athens, Greece)(ESEC/FSE 2021)

Reference 27

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metadata mismatch
arxiv_id, observed 2026-05-10T03:19:14.674163Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T03:15:00.867443Z digest=sha256:e97d5ad4af03080a1529be8ac4742e1b7bd994fe37e19c91acee25fe0f546efe

Observation c456d066-6f36-456e-a29a-4e1e7318113b · outbound

This paper cites SySeVR: A framework for using deep learning to detect software vulnerabilities.

SAGE: Signal-Amplified Guided Embeddings for LLM-based Vulnerability Detection SySeVR: A framework for using deep learning to detect software vulnerabilities

Reference 28

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verified exact
arxiv_id, observed 2026-05-10T03:19:14.668898Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T03:15:00.867443Z digest=sha256:bd31607f2a55b8db9ec6cd971a7ccd880836e3bf7691ed05f2e1b44c7f65042b

Observation 445db2d0-ba1d-4689-a108-b3d9ee4e952c · outbound

This paper cites VulDeePecker: A deep learning-based system for vulnerability detection.

SAGE: Signal-Amplified Guided Embeddings for LLM-based Vulnerability Detection VulDeePecker: A deep learning-based system for vulnerability detection

Reference 29

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verified exact
arxiv_id, observed 2026-05-10T03:19:14.681743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T03:15:00.867443Z digest=sha256:389895b30c129174c04c6e56d36f7bc26b18fe6e7458c0f87a63b752a5c176d3

Observation a8791cb6-b65a-4885-a773-50dc50709060 · outbound

This paper cites Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2.

SAGE: Signal-Amplified Guided Embeddings for LLM-based Vulnerability Detection Gemma Scope: Open Sparse Autoencoders Everywhere All At Once on Gemma 2

Reference 30

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verified exact
arxiv_id, observed 2026-05-15T05:47:20.085339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T03:15:00.867443Z digest=sha256:5e4dd07ed96a57d680b9d49d731ba2269a64b5638faebf8c579c1d78e526b6d4

Observation a72ddadc-5f5a-4c0a-9280-aa9f2bd5b3fc · outbound

This paper cites In: Proceedings of the IEEE/ACM 46th International Conference on Software Engineering, ICSE ’24, pp.

SAGE: Signal-Amplified Guided Embeddings for LLM-based Vulnerability Detection In: Proceedings of the IEEE/ACM 46th International Conference on Software Engineering, ICSE ’24, pp

Reference 31

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arxiv_id, observed 2026-05-10T03:19:14.704595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T03:15:00.867443Z digest=sha256:c536a313c8e716238171cccc9b51464f988276fde31d359bc5ff82ad5df17e2e

Observation 89541b70-6d05-47a7-9b4c-3f2cf0441b25 · outbound

This paper cites an unresolved cited work.

SAGE: Signal-Amplified Guided Embeddings for LLM-based Vulnerability Detection Unresolved cited work

Reference 32

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unresolved
raw_fallback, observed 2026-05-22T17:26:50.728455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T03:15:00.867443Z digest=sha256:5ada9502f3a52ab0d629c970977443aebd316f576132fe1039c8f7f3dd717115

Observation 8f50a848-47ea-4367-9757-a1a88a08fad5 · outbound

This paper cites Nelson Amaral, Bor-Yuh Evan Chang, Samuel Z.

SAGE: Signal-Amplified Guided Embeddings for LLM-based Vulnerability Detection Nelson Amaral, Bor-Yuh Evan Chang, Samuel Z

Reference 33

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doi, observed 2026-05-10T03:19:14.693761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T03:15:00.867443Z digest=sha256:e28aa167b77eeca1119b326a87fa7c474182f02977390c7637b72ee2ed7eecad

Observation 1480e9ac-75cb-456d-b49c-6038f688f1cd · outbound

This paper cites Benjamin Livshits and Monica S.

SAGE: Signal-Amplified Guided Embeddings for LLM-based Vulnerability Detection Benjamin Livshits and Monica S

Reference 34

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verified fuzzy
raw_fallback, observed 2026-05-22T17:26:50.694633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T03:15:00.867443Z digest=sha256:0b44dc11a266b32deada27b2831e9ee5c616bbd2119a8be0cf06960ac7f97134

Observation dbe81961-f222-480f-9c44-6158901a5dc7 · outbound

This paper cites Proceedings of the IEEE/ACM 46th International Conference on Software Engineering , articleno =.

SAGE: Signal-Amplified Guided Embeddings for LLM-based Vulnerability Detection Proceedings of the IEEE/ACM 46th International Conference on Software Engineering , articleno =

Reference 35

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T03:19:14.768742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T03:15:00.867443Z digest=sha256:882e620b122e86bd50752e4ed44242a180a31235822417cb1fa01e7a4301c50e

Observation 1a11bf07-6ee0-4a31-9426-c7b2a7c1a8bf · outbound

This paper cites 2024 , url =.

SAGE: Signal-Amplified Guided Embeddings for LLM-based Vulnerability Detection 2024 , url =

Reference 36

Resolution
verified exact
doi, observed 2026-05-10T03:19:14.695585Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T03:15:00.867443Z digest=sha256:e48b3e0fa0e8cd0c066f96fdff6e63ec49f0eb03553de0a3da24b48db7addf6d

Observation 265984d7-1b12-40e4-b6d3-bfcf47854ef4 · outbound

This paper cites Manès, HyungSeok Han, Choongwoo Han, Sang Kil Cha, Manuel Egele, Edward J.

SAGE: Signal-Amplified Guided Embeddings for LLM-based Vulnerability Detection Manès, HyungSeok Han, Choongwoo Han, Sang Kil Cha, Manuel Egele, Edward J

Reference 37

Resolution
verified exact
arxiv_id, observed 2026-05-10T03:19:14.717026Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T03:15:00.867443Z digest=sha256:75e05ccdbf153d5f2dd1d11755cab995baa9cfee6d1b75c7afad6eb00eeb83ff

Observation 9e9aecea-da74-4665-a57d-2307afc38df8 · outbound

This paper cites Decoding social sentiment in dao: A comparative analysis of blockchain governance communities.

SAGE: Signal-Amplified Guided Embeddings for LLM-based Vulnerability Detection Decoding social sentiment in dao: A comparative analysis of blockchain governance communities

Reference 38

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T03:19:14.759487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T03:15:00.867443Z digest=sha256:32b83968fd12bb901d427dd6ab56b197017669f1460e98047bd76760d90a74ac

Observation 2c5d75b4-a5f7-4208-aa75-9cad46879574 · outbound

This paper cites Biochimica et Biophysica Acta (BBA) - Protein Structure405(2), 442–451 (1975).https://doi.org/10.1016/0005-2795(75)90109-9.

SAGE: Signal-Amplified Guided Embeddings for LLM-based Vulnerability Detection Biochimica et Biophysica Acta (BBA) - Protein Structure405(2), 442–451 (1975).https://doi.org/10.1016/0005-2795(75)90109-9

Reference 39

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doi, observed 2026-05-10T03:19:14.761497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T03:15:00.867443Z digest=sha256:9a3ecd4acdf4c6b1b586bd12fe59d9bddd70ad77b7e90f21a520ae20cb68d75f

Observation 9b51e32e-132f-40c4-a9c6-f987df6015a4 · outbound

This paper cites Are Sparse Autoencoders Useful for Java Function Bug Detection?.

SAGE: Signal-Amplified Guided Embeddings for LLM-based Vulnerability Detection Are Sparse Autoencoders Useful for Java Function Bug Detection?

Reference 40

Resolution
verified exact
local_arxiv, observed 2026-05-10T03:19:14.719544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T03:15:00.867443Z digest=sha256:2ba630abc94758709a91724fef81b4d5227ed3a370baf11a8826f9d8f8bce6b3

Observation 81e6c1ef-5424-4185-b6ef-8afef4a5883f · outbound

This paper cites an unresolved cited work.

SAGE: Signal-Amplified Guided Embeddings for LLM-based Vulnerability Detection Unresolved cited work

Reference 41

Resolution
unresolved
raw_fallback, observed 2026-05-22T17:26:50.688362Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T03:15:00.867443Z digest=sha256:d435c399d3031f74de3efbf697e9c4cf2b96acc527f338e06a3eee3493203ef0

Observation e5291bb4-678e-42d6-a2f3-189cfea032d4 · outbound

This paper cites https://openreview.net/forum?id=UGpGkLzwpP.

SAGE: Signal-Amplified Guided Embeddings for LLM-based Vulnerability Detection https://openreview.net/forum?id=UGpGkLzwpP

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T17:26:50.701392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T03:15:00.867443Z digest=sha256:c471812120ecc96c639ac8c75f059389f0b7868418b8b16b982d64da9e83b7d3

Observation 6b6af0b3-49c3-4a82-8ef9-d1007b9df886 · outbound

This paper cites Jumping Ahead: Improving Reconstruction Fidelity with JumpReLU Sparse Autoencoders.

SAGE: Signal-Amplified Guided Embeddings for LLM-based Vulnerability Detection Jumping Ahead: Improving Reconstruction Fidelity with JumpReLU Sparse Autoencoders

Reference 43

Resolution
verified exact
arxiv_id, observed 2026-05-15T19:10:17.136575Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T03:15:00.867443Z digest=sha256:3892e143aed77ae503a172dfa292fbec8e51eaa54f5f5b7f1e9abf7eb44c7ab7

Observation 815a529d-c17f-426a-aa64-0b0d04276440 · outbound

This paper cites Automated Software Engineering31(04 2024).

SAGE: Signal-Amplified Guided Embeddings for LLM-based Vulnerability Detection Automated Software Engineering31(04 2024)

Reference 44

Resolution
verified exact
doi, observed 2026-05-10T03:19:14.754446Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T03:15:00.867443Z digest=sha256:bff93344848fb3f71857f1f68628c10c827572ab3a530ea688bfa61af1f825e0

Observation b5672930-5f43-4006-9057-f25d2748d231 · outbound

This paper cites an unresolved cited work.

SAGE: Signal-Amplified Guided Embeddings for LLM-based Vulnerability Detection Unresolved cited work

Reference 45

Resolution
unresolved
raw_fallback, observed 2026-05-22T17:26:50.708374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T03:15:00.867443Z digest=sha256:3ecc2de627badb9d511f564ae913195e8f1a85ef1b4f3c19d690b1895c156051

Observation 95885dd9-231b-4fc0-89e3-8daee098c5e3 · outbound

This paper cites Code Llama: Open Foundation Models for Code.

SAGE: Signal-Amplified Guided Embeddings for LLM-based Vulnerability Detection Code Llama: Open Foundation Models for Code

Reference 46

Resolution
verified exact
arxiv_id, observed 2026-05-10T15:08:33.079720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T03:15:00.867443Z digest=sha256:6942e81b96c121e1c7b11ed451405c7f40d54afd5c36144f155d43813f055b7b

Observation 6c0b6be9-8272-4d4a-80e9-539f028a2d96 · outbound

This paper cites Leavens, K.

SAGE: Signal-Amplified Guided Embeddings for LLM-based Vulnerability Detection Leavens, K

Reference 47

Resolution
verified exact
arxiv_id, observed 2026-05-10T03:19:14.748118Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T03:15:00.867443Z digest=sha256:23410a5b2574e61f675e67c1e822bf3d3f02e40bd4ebf12b034f94ff7a53844c

Observation f6d67374-ff7c-411d-a95c-dcb90309bd4d · outbound

This paper cites McMillan, Oded Padon, Mooly Sagiv, Sharon Shoham, James R.

SAGE: Signal-Amplified Guided Embeddings for LLM-based Vulnerability Detection McMillan, Oded Padon, Mooly Sagiv, Sharon Shoham, James R

Reference 48

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T03:19:14.752943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T03:15:00.867443Z digest=sha256:0d5c69b18c5139fbf22d8dc1313e84079ae59714c2f00c2cf6b34f40ff795400

Observation 5b72e213-c79d-4e93-904d-5a3b3ca103af · outbound

This paper cites an unresolved cited work.

SAGE: Signal-Amplified Guided Embeddings for LLM-based Vulnerability Detection Unresolved cited work

Reference 49

Resolution
unresolved
raw_fallback, observed 2026-05-22T17:26:50.691528Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T03:15:00.867443Z digest=sha256:ad549205ba0029cb614ef70c3576169017616adb75bc6c861552cacbe05ac582

Observation 3bd9112f-e6bb-468b-b211-dacf83955545 · outbound

This paper cites arXiv preprint arXiv:2509.19839 , year=.

SAGE: Signal-Amplified Guided Embeddings for LLM-based Vulnerability Detection arXiv preprint arXiv:2509.19839 , year=

Reference 50

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arxiv_id, observed 2026-05-10T03:19:14.743276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T03:15:00.867443Z digest=sha256:bb4e8aa76a6c1ee614de2d5ef035e0ab23b5fe1d53a727e6422480008a97da43

Observation 6fdb6971-c2e8-4a6f-a38a-2f9e6fe2d4ca · outbound

This paper cites Improving LLM Reasoning for Vulnerability Detection via Group Relative Policy Optimization.

SAGE: Signal-Amplified Guided Embeddings for LLM-based Vulnerability Detection Improving LLM Reasoning for Vulnerability Detection via Group Relative Policy Optimization

Reference 51

Resolution
verified exact
arxiv_id, observed 2026-05-10T03:19:14.745779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T03:15:00.867443Z digest=sha256:dd05ada4ab1290eac75bdb459227b6ead7aabc5519a3fdcde97d8ffd2cd34df7

Observation 91bed125-c8f9-420c-8a5f-6ea4607d9cf5 · outbound

This paper cites Barr, and Wei Le.

SAGE: Signal-Amplified Guided Embeddings for LLM-based Vulnerability Detection Barr, and Wei Le

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T17:26:50.697774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T03:15:00.867443Z digest=sha256:6698562f2dc183a9e7c8788ac6b97c89eafabf1dda92f87ba673b2ada789e5f9

Observation c08f06ee-dfb2-463e-8c53-f71767cc489b · outbound

This paper cites To Err is Machine: Vulnerability Detection Challenges LLM Reasoning.

SAGE: Signal-Amplified Guided Embeddings for LLM-based Vulnerability Detection To Err is Machine: Vulnerability Detection Challenges LLM Reasoning

Reference 53

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T03:19:14.750477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T03:15:00.867443Z digest=sha256:3fd14fb0df541c6310fc365df54cf82ed1eca587a2b7fc0aac6b7e522d1fbb0d

Observation 06902aee-8337-4a97-90ea-682281f909ff · outbound

This paper cites LLM4Vuln: A Unified Evaluation Framework for Decoupling and Enhancing LLMs' Vulnerability Reasoning.

SAGE: Signal-Amplified Guided Embeddings for LLM-based Vulnerability Detection LLM4Vuln: A Unified Evaluation Framework for Decoupling and Enhancing LLMs' Vulnerability Reasoning

Reference 54

Resolution
verified exact
arxiv_id, observed 2026-05-10T03:19:14.766410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T03:15:00.867443Z digest=sha256:93ba23061fcab9cefc2178ae2d47718110e44ba48adbdc7e823ea0ba2d5fbfbb

Observation ba8c1efc-8c7e-4fdf-ad57-b05ba8fac89d · outbound

This paper cites The Llama 3 Herd of Models.

SAGE: Signal-Amplified Guided Embeddings for LLM-based Vulnerability Detection The Llama 3 Herd of Models

Reference 55

Resolution
malformed identifier
local_arxiv, observed 2026-05-10T03:19:14.714181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T03:15:00.867443Z digest=sha256:4b0fd90cfcbf70e8584e2b67a73e4dce4d6aaa8b161a313be86a966056e1adbe

Observation f57b07bf-0632-44e0-82cb-914efc578a2a · outbound

This paper cites an unresolved cited work.

SAGE: Signal-Amplified Guided Embeddings for LLM-based Vulnerability Detection Unresolved cited work

Reference 56

Resolution
unresolved
raw_fallback, observed 2026-05-22T17:26:50.705034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T03:15:00.867443Z digest=sha256:e6b7fb17006e4cd1ac0c2a97ccdda811327233a20e00ca0db3566ed1ed55daf6

Observation 9b7ba256-936d-42af-b054-f9c1e7585913 · outbound

This paper cites Viega, J.T.

SAGE: Signal-Amplified Guided Embeddings for LLM-based Vulnerability Detection Viega, J.T

Reference 57

Resolution
verified exact
arxiv_id, observed 2026-05-10T03:19:14.737117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T03:15:00.867443Z digest=sha256:1595a91a35f83e1751e8f09c65dd6d300c02e1073a05a0c0085b94d6c22d12d1

Observation 5880b35c-c7a5-4270-b934-61a86e3e87d8 · outbound

This paper cites DescribeCtx: Context-aware description synthesis for sensitive behaviors in mobile apps,.

SAGE: Signal-Amplified Guided Embeddings for LLM-based Vulnerability Detection DescribeCtx: Context-aware description synthesis for sensitive behaviors in mobile apps,

Reference 58

Resolution
verified exact
arxiv_id, observed 2026-05-10T03:19:14.740949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T03:15:00.867443Z digest=sha256:182143f7bccf74bab46393a4e12b644f2d4d9b614fb9bfdc39b48db6e9f64c2a

Observation b5b5d684-9474-49c8-851a-a75afba89c22 · outbound

This paper cites an unresolved cited work.

SAGE: Signal-Amplified Guided Embeddings for LLM-based Vulnerability Detection Unresolved cited work

Reference 59

Resolution
unresolved
raw_fallback, observed 2026-05-22T17:26:50.681780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T03:15:00.867443Z digest=sha256:3c701bd0afbcd852138f9f37cb54b75b86110dd6e5283a57abdd965dd7436cd4

Observation 055bb13f-5d5b-44fc-bfec-26019cb6a49d · outbound

This paper cites In: Advances in Neural Information Processing Systems, Curran Associates, Inc., vol 34, pp 27,865–27,876,https://proceedings.

SAGE: Signal-Amplified Guided Embeddings for LLM-based Vulnerability Detection In: Advances in Neural Information Processing Systems, Curran Associates, Inc., vol 34, pp 27,865–27,876,https://proceedings

Reference 60

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T03:19:14.734807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T03:15:00.867443Z digest=sha256:88c0ad116605f148ca13c7d4c880eda4567f69da5dc85582bba9f78c4c069849

Observation 14902636-4136-44f9-9b38-ac8f870806b5 · outbound

This paper cites Exploring the Limits of ChatGPT in Software Security Applications.

SAGE: Signal-Amplified Guided Embeddings for LLM-based Vulnerability Detection Exploring the Limits of ChatGPT in Software Security Applications

Reference 61

Resolution
verified exact
arxiv_id, observed 2026-05-10T03:19:14.732504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T03:15:00.867443Z digest=sha256:2d926a40aa3500be6686c7c4466dde60283e2e5e10c96d938a40024fd7bebedc

Observation aef78143-df56-4a6b-b070-88a9435795d1 · outbound

This paper cites Modeling and discovering vulnerabilities with code property graphs.

SAGE: Signal-Amplified Guided Embeddings for LLM-based Vulnerability Detection Modeling and discovering vulnerabilities with code property graphs

Reference 62

Resolution
verified exact
doi, observed 2026-05-10T03:19:14.656320Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T03:15:00.867443Z digest=sha256:9380aaf11ae8fcbed998bafe98084176d76d1d341d0a0bc0237a268306742263

Observation 79e32ec3-8564-41dd-b6c6-14d74f180f90 · outbound

This paper cites Security Vulnerability Detection with Multitask Self-Instructed Fine-Tuning of Large Language Models.

SAGE: Signal-Amplified Guided Embeddings for LLM-based Vulnerability Detection Security Vulnerability Detection with Multitask Self-Instructed Fine-Tuning of Large Language Models

Reference 63

Resolution
verified exact
arxiv_id, observed 2026-05-10T03:19:14.662757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T03:15:00.867443Z digest=sha256:89710e6aac2fdc9c174cfa31c70c32fc8df6e474d8b476c6c5896f6d5eb76939

Observation 92a16f5a-3f66-4972-b1b9-abd715437e88 · outbound

This paper cites an unresolved cited work.

SAGE: Signal-Amplified Guided Embeddings for LLM-based Vulnerability Detection Unresolved cited work

Reference 64

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T12:41:03.678556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T03:15:00.867443Z digest=sha256:87d2324e135ba542c7405a8cf57a5f7f6dc2393e90ed0b15abb41e454675de82

Observation d6f7d9b6-0fa9-4a74-813c-024e2796dfd9 · outbound

This paper cites A black-box attack on code models via representation nearest neighbor search.

SAGE: Signal-Amplified Guided Embeddings for LLM-based Vulnerability Detection A black-box attack on code models via representation nearest neighbor search

Reference 65

Resolution
verified exact
doi, observed 2026-05-10T03:19:14.657988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T03:15:00.867443Z digest=sha256:4f6ae25b59d76202b3f14ef90f643c4e3a63d9302d47b5776d7febc87901807e

Observation 246a9b8e-5507-497d-b822-c58e27e32f5e · outbound

This paper cites In Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis (Vienna, Austria) (ISSTA 2024).

SAGE: Signal-Amplified Guided Embeddings for LLM-based Vulnerability Detection In Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis (Vienna, Austria) (ISSTA 2024)

Reference 66

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T03:19:14.660419Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T03:15:00.867443Z digest=sha256:8014f3b97c217cb32c459784ac81f18808a63084c3224f3d052f52d7bd6aee17

Observation 1330191f-e712-401c-ba43-1f7d555a7df8 · outbound

This paper cites an unresolved cited work.

SAGE: Signal-Amplified Guided Embeddings for LLM-based Vulnerability Detection Unresolved cited work

Reference 67

Resolution
unresolved
raw_fallback, observed 2026-05-22T17:26:50.684795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-10T03:15:00.867443Z digest=sha256:75bd4b01f0049010b50cfcc93e1955821a73019965d224c720a38e2beabd6c9a

Pith citing papers

No inbound Pith citation observations are available.