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Paper Citation Record · LEDGER

LIFT: Automating Symbolic Execution Optimization with Large Language Models for AI Networks

As of 18 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 0 inbound Pith citation observations for arXiv:2507.04931.

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

pith.paper-citation-record.v1
2507.04931 v1

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:39:30.549592Z

measured 23 of 23 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

23 of 23 outbound references displayed

  • verified exact1
  • verified fuzzy6
  • unresolved14
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c681f836-3f8d-4ab9-9f40-dbb89b07cff6 · outbound

This paper cites an unresolved cited work.

LIFT: Automating Symbolic Execution Optimization with Large Language Models for AI Networks Unresolved cited work

Reference 1

Resolution
metadata mismatch
raw_fallback, observed 2026-08-06T19:39:31.713775Z

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=pdf_text observed=2026-08-06T19:39:28.234086Z digest=sha256:35dfe00cc40d5610b6e1c6f3ea00a92e29b2bb614b6814decc2cdead6b786ff7

Observation 7820b0ff-d1ad-4d6d-876b-e58776b8af27 · outbound

This paper cites an unresolved cited work.

LIFT: Automating Symbolic Execution Optimization with Large Language Models for AI Networks Unresolved cited work

Reference 2

Resolution
unresolved
raw_fallback, observed 2026-08-06T19:39:33.677707Z

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=pdf_text observed=2026-08-06T19:39:28.333104Z digest=sha256:54e2e474cbb8fa8b45b39746ae600d212131064316ac501a21bc66417e85837a

Observation e47cf6ea-2b49-4138-828c-2758dceaaa55 · outbound

This paper cites Say What You Mean: Natural Language Access Control with Large Language Models for Internet of Things.

LIFT: Automating Symbolic Execution Optimization with Large Language Models for AI Networks Say What You Mean: Natural Language Access Control with Large Language Models for Internet of Things

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-06T19:39:28.458679Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:39:28.458679Z digest=sha256:628d77be064e43fa2aca0870fffbd322eb296a885e0c48b19c3bc21ca40b4ec5

Observation 83880ba6-0456-4d6e-8619-2b376491b54a · outbound

This paper cites Dutta, R.

LIFT: Automating Symbolic Execution Optimization with Large Language Models for AI Networks Dutta, R

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-06T19:39:28.572661Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:39:28.572661Z digest=sha256:20a15fd97a0697605f36a12fe50db338a24deac907561e372e7962091f7cea97

Observation 82b9015e-0a71-42a9-a3fd-4da2452869d7 · outbound

This paper cites Huang, X.

LIFT: Automating Symbolic Execution Optimization with Large Language Models for AI Networks Huang, X

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:39:33.527104Z

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=pdf_text observed=2026-08-06T19:39:28.622391Z digest=sha256:828190c0527f15cca2046799f040de41400e7acc9cb219ea68c5a42e05f10458

Observation 21eb1cd2-6c50-4e76-93f0-ce16dd6a6423 · outbound

This paper cites If LLMs Would Just Look: Simple Line-by-line Checking Improves Vulnerability Localization.

LIFT: Automating Symbolic Execution Optimization with Large Language Models for AI Networks If LLMs Would Just Look: Simple Line-by-line Checking Improves Vulnerability Localization

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-06T19:39:28.707271Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:39:28.707271Z digest=sha256:fbe1e3ed1162074134d2b63b36913e1c90379f1c054a9113f5306ebb7d10406a

Observation 28b9f3e4-45ef-4dd7-84ec-b6a6732f3e8a · outbound

This paper cites an unresolved cited work.

LIFT: Automating Symbolic Execution Optimization with Large Language Models for AI Networks Unresolved cited work

Reference 7

Resolution
unresolved
raw_fallback, observed 2026-08-06T19:39:33.205427Z

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=pdf_text observed=2026-08-06T19:39:28.758926Z digest=sha256:f378f9a73dadc30e64da1eedd7655a935611c3eeba67d6d51dd2ddb37ce77422

Observation 0a00ba29-0bd6-4211-abe1-738473458064 · outbound

This paper cites an unresolved cited work.

LIFT: Automating Symbolic Execution Optimization with Large Language Models for AI Networks Unresolved cited work

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-06T19:39:28.800220Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:39:28.800220Z digest=sha256:2320c727b0f9966a88fdb30a4aa45ce5ef1cd3aae2574bbb24b663e754683e67

Observation 37a21be1-0637-49bc-9922-f4a74fb0bf87 · outbound

This paper cites Merckx, T.

LIFT: Automating Symbolic Execution Optimization with Large Language Models for AI Networks Merckx, T

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:39:33.088682Z

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=pdf_text observed=2026-08-06T19:39:28.885082Z digest=sha256:81fc474c1d26cc35409ec1dbaf0983d6aa710935857a974b227db66ff94ddb0a

Observation 82e5952c-49ee-4227-890a-baad5f9d82f9 · outbound

This paper cites Nethercote and J.

LIFT: Automating Symbolic Execution Optimization with Large Language Models for AI Networks Nethercote and J

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:39:32.929315Z

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=pdf_text observed=2026-08-06T19:39:28.988812Z digest=sha256:ed43b6d78581508d0cfae114ecb415b9e34b3ae70f7e2c33b528377cd693e39f

Observation 4dfac3c1-e7fc-4945-adfb-d13ed21b60bf · outbound

This paper cites Pitigalaarachchi, X.

LIFT: Automating Symbolic Execution Optimization with Large Language Models for AI Networks Pitigalaarachchi, X

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:39:32.807568Z

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=pdf_text observed=2026-08-06T19:39:29.075126Z digest=sha256:4a5809fd89ee183bd8a2b0191bbac68278bc1d44b4d129c4617d9ef174c0b5d0

Observation 0b6c9101-9f5c-4312-84e4-579ddc3798b3 · outbound

This paper cites Poeplau and A.

LIFT: Automating Symbolic Execution Optimization with Large Language Models for AI Networks Poeplau and A

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:39:32.645577Z

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=pdf_text observed=2026-08-06T19:39:29.169510Z digest=sha256:a0bf61882faa5824da5a7aa2867c1afd23b6d70bcea1f647a9dadaf8a3dcfec2

Observation b98aea2b-9efd-4bb7-b73d-9d63adb6e68d · outbound

This paper cites Shoshitaishvili, R.

LIFT: Automating Symbolic Execution Optimization with Large Language Models for AI Networks Shoshitaishvili, R

Reference 13

Resolution
verified exact
doi, observed 2026-08-06T19:39:30.785909Z

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=pdf_text observed=2026-08-06T19:39:29.276138Z digest=sha256:4ac054a6a1c3f41fac091293785285c28596e640c4a0ef713a52d2a3c4a224ec

Observation d64da6ce-e3a2-4d37-a367-e8636966e5af · outbound

This paper cites an unresolved cited work.

LIFT: Automating Symbolic Execution Optimization with Large Language Models for AI Networks Unresolved cited work

Reference 14

Resolution
unresolved
raw_fallback, observed 2026-08-06T19:39:32.505138Z

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=pdf_text observed=2026-08-06T19:39:29.393934Z digest=sha256:b07f5e967b1a47b80a15c0106bafc3666e1afa0d7dfa5ccf5ae9017fb2657c2f

Observation 9e0cd507-f029-49d0-9c72-cc59674ac1d4 · outbound

This paper cites an unresolved cited work.

LIFT: Automating Symbolic Execution Optimization with Large Language Models for AI Networks Unresolved cited work

Reference 15

Resolution
unresolved
raw_fallback, observed 2026-08-06T19:39:32.383340Z

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=pdf_text observed=2026-08-06T19:39:29.512296Z digest=sha256:741f5de2fd60ab769230bed83e62ac72f0cdacb3de6adfb8025738e39c95d752

Observation c3da8400-805f-42af-b9a1-3234c5e03004 · outbound

This paper cites an unresolved cited work.

LIFT: Automating Symbolic Execution Optimization with Large Language Models for AI Networks Unresolved cited work

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-06T19:39:29.802134Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:39:29.802134Z digest=sha256:f76876592c45dae7b7ff8fbdb9a44148d0a1ffcc457353d6bff20e70ea8b2793

Observation 2edc64f5-350f-443a-a4f7-b3b7bbec1369 · outbound

This paper cites an unresolved cited work.

LIFT: Automating Symbolic Execution Optimization with Large Language Models for AI Networks Unresolved cited work

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-06T19:39:29.921664Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:39:29.921664Z digest=sha256:08ab4c256b20881e4c408ca9d86eb13d6adb88f5d680ea74c989c5c0fde36d89

Observation a3852a48-72ba-4752-bab7-7ded685fdb02 · outbound

This paper cites On Protecting the Data Privacy of Large Language Models (LLMs): A Survey.

LIFT: Automating Symbolic Execution Optimization with Large Language Models for AI Networks On Protecting the Data Privacy of Large Language Models (LLMs): A Survey

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-06T19:39:30.085192Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:39:30.085192Z digest=sha256:0153682a27da7bee9e85657886a2f625ecd9381dc8dd4d568a2e52520d6a8c0f

Observation 1ae1f82f-60a9-4b1d-9610-f52b3afda630 · outbound

This paper cites an unresolved cited work.

LIFT: Automating Symbolic Execution Optimization with Large Language Models for AI Networks Unresolved cited work

Reference 19

Resolution
unresolved
raw_fallback, observed 2026-08-06T19:39:31.945548Z

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=pdf_text observed=2026-08-06T19:39:30.227981Z digest=sha256:1638a49d28dcac9ff2fc9e5490749f7c82bac5ca6e1c531ed44012852ab975d0

Observation 2a5ee85c-dcfd-49a7-9b27-a78b61c79086 · outbound

This paper cites an unresolved cited work.

LIFT: Automating Symbolic Execution Optimization with Large Language Models for AI Networks Unresolved cited work

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-06T19:39:30.410762Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:39:30.410762Z digest=sha256:c23c609baae50512a0918d053d71a94f598a4106dc936279643c3671551a632d

Observation e4d850a8-c301-4635-b89f-6166d88ecc0a · outbound

This paper cites Zhang, M.

LIFT: Automating Symbolic Execution Optimization with Large Language Models for AI Networks Zhang, M

Reference 21

Resolution
metadata mismatch
raw_fallback, observed 2026-08-06T19:39:31.073108Z

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=pdf_text observed=2026-08-06T19:39:30.549592Z digest=sha256:6d2378c35a7737f28ed83a4a0a828ee387efbeddc6ee1cd98fb01e4426ab957e

Observation 8f09a274-4b27-46ec-9dcd-0ee658277f65 · outbound

This paper cites In Proceedings of the 2016 ACM SIGCOMM Conference.

LIFT: Automating Symbolic Execution Optimization with Large Language Models for AI Networks In Proceedings of the 2016 ACM SIGCOMM Conference

Reference 2016

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:39:32.202118Z

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=pdf_text observed=2026-08-06T19:39:29.656771Z digest=sha256:15dbe1c681a99b540ca104b8116bee4afdc545086af7b91f073965492220f936

Observation f6a6b634-6202-40ae-9346-66a939e07f03 · outbound

This paper cites an unresolved cited work.

LIFT: Automating Symbolic Execution Optimization with Large Language Models for AI Networks Unresolved cited work

Reference 2023

Resolution
unresolved
raw_fallback, observed 2026-08-06T19:39:33.388775Z

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=pdf_text observed=2026-08-06T19:39:28.670839Z digest=sha256:40c904763fa59d329e636fe57c01ac86dffed64f3a6a67f1e7613c6c07568243

Pith citing papers

No inbound Pith citation observations are available.