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Paper Citation Record · LEDGER

Enhancing LLM Agent Safety via Causal Influence Prompting

As of 7 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 1 inbound Pith citation observation for arXiv:2507.00979.

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

pith.paper-citation-record.v1
2507.00979 v1

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:06:54.953081Z

measured 31 of 31 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T01:01:38.141860Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-06T01:01:40.290388Z

Reference resolution

30 of 30 outbound references displayed

  • verified exact0
  • verified fuzzy17
  • unresolved13
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e7d1f718-3678-4a0b-aaeb-be13b0ce8c23 · outbound

This paper cites an unresolved cited work.

Enhancing LLM Agent Safety via Causal Influence Prompting Unresolved cited work

Reference 1

Resolution
unresolved
raw_fallback, observed 2026-08-06T21:06:55.229812Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:06:54.866902Z digest=sha256:e73cc26263d18607c50aa49b1789a23542db8f89a2ce1fb1f5fe5f1537457c99

Observation 0be78b33-62f4-4b12-9259-fd282a83482f · outbound

This paper cites InProceedings of the 16th ACM Workshop on Artificial Intelligence and Secu- rity, pages 79–90.

Enhancing LLM Agent Safety via Causal Influence Prompting InProceedings of the 16th ACM Workshop on Artificial Intelligence and Secu- rity, pages 79–90

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:06:55.239110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:06:54.847909Z digest=sha256:b39540d19d49f20d233a0d08090d16f28c60f6a3c6db1644119445f236294181

Observation 5bce3eff-c933-4ab9-a5dd-f897b8b33789 · outbound

This paper cites Nodes should be concrete and clearly defined.

Enhancing LLM Agent Safety via Causal Influence Prompting Nodes should be concrete and clearly defined

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:06:55.212782Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:06:54.874268Z digest=sha256:44b5eb5ea9ae4d14e04a648d188e2e9c86e04201cae9d105cc29598f0c24b060

Observation 82d8ae7e-a8ad-4049-88db-b6260ce828b8 · outbound

This paper cites SWE-bench: Can Language Models Resolve Real-World GitHub Issues?.

Enhancing LLM Agent Safety via Causal Influence Prompting SWE-bench: Can Language Models Resolve Real-World GitHub Issues?

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-06T21:06:54.855847Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:06:54.855847Z digest=sha256:55d8c62f25934f56187aebd336650677c2b01fad15672d8935c6a07bc9bc3b9f

Observation d15baaba-7741-4d6a-a7f6-190ee3915815 · outbound

This paper cites AndroidWorld: A Dynamic Benchmarking Environment for Autonomous Agents.

Enhancing LLM Agent Safety via Causal Influence Prompting AndroidWorld: A Dynamic Benchmarking Environment for Autonomous Agents

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-06T21:06:54.859529Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:06:54.859529Z digest=sha256:256f55ac1f764332858550302c2c68f2903217fb6b90f76b9a02179f56b0e2dd

Observation d409b801-d473-4309-b495-82f304f14bac · outbound

This paper cites The task may not contain any risks.

Enhancing LLM Agent Safety via Causal Influence Prompting The task may not contain any risks

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:06:55.221379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:06:54.870715Z digest=sha256:52f74a7aa70fd422e8f78be420372f0e1372630d501ee5165eb6dcb2d0d430dc

Observation 5147f9ed-2ea5-4255-9355-6feb65662edd · outbound

This paper cites an unresolved cited work.

Enhancing LLM Agent Safety via Causal Influence Prompting Unresolved cited work

Reference 10

Resolution
unresolved
raw_fallback, observed 2026-08-06T21:06:55.203738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:06:54.877797Z digest=sha256:c4f5fa87c30e8679a3083d2d4ae219997e3b20aeef3ccbc00e66ada419a689a2

Observation 6141aafe-7be1-473f-8783-12463f8b9a4d · outbound

This paper cites User Instruction.

Enhancing LLM Agent Safety via Causal Influence Prompting User Instruction

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:06:55.194934Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:06:54.881271Z digest=sha256:8049f9a64141f15dd04daeca548502eafc6973415baa31fd4f624b8e05e0a60f

Observation 2fd0ab3c-f7af-4e35-b0fe-5ad00c8c398b · outbound

This paper cites an unresolved cited work.

Enhancing LLM Agent Safety via Causal Influence Prompting Unresolved cited work

Reference 12

Resolution
unresolved
raw_fallback, observed 2026-08-06T21:06:55.186535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:06:54.885091Z digest=sha256:71ea310044b0b3cd738205ab261e914b103536ebb5ca888396c5301fd69e562c

Observation 97b91591-ddf3-48b4-87e1-36047dbed85c · outbound

This paper cites an unresolved cited work.

Enhancing LLM Agent Safety via Causal Influence Prompting Unresolved cited work

Reference 13

Resolution
unresolved
raw_fallback, observed 2026-08-06T21:06:55.178580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:06:54.888656Z digest=sha256:317fd4577f62f0476b0d9d068ad71334896dedf20df8e2b41e1b75e5a8c54fa0

Observation 5b344703-f422-415e-b72e-8a865e08b0a9 · outbound

This paper cites - Perform refinement to contain the necessary information based on following rules:.

Enhancing LLM Agent Safety via Causal Influence Prompting - Perform refinement to contain the necessary information based on following rules:

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:06:55.169895Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:06:54.891943Z digest=sha256:904f59588fb3286e0ce97c404692e1c1de2b252137042186f4a8317168b1b687

Observation 51a32c2c-34b4-4502-9513-606b2fd227e5 · outbound

This paper cites an unresolved cited work.

Enhancing LLM Agent Safety via Causal Influence Prompting Unresolved cited work

Reference 15

Resolution
unresolved
raw_fallback, observed 2026-08-06T21:06:55.160908Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:06:54.896167Z digest=sha256:00d939bd1e9a594e4caa43b32d2af0df11c1c573065ed05c4afdd714719e8e39

Observation 8e9a7222-4961-4bc1-8eba-e169694810c3 · outbound

This paper cites an unresolved cited work.

Enhancing LLM Agent Safety via Causal Influence Prompting Unresolved cited work

Reference 16

Resolution
unresolved
raw_fallback, observed 2026-08-06T21:06:55.152468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:06:54.899421Z digest=sha256:9babfb6beea311c7a4727bbdc88a6c82ab09bda1bde844295613e38499fd8b41

Observation a1ed2290-23bd-40e3-8d32-86dba2cb71c2 · outbound

This paper cites an unresolved cited work.

Enhancing LLM Agent Safety via Causal Influence Prompting Unresolved cited work

Reference 17

Resolution
unresolved
raw_fallback, observed 2026-08-06T21:06:55.143908Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:06:54.903254Z digest=sha256:35d50c75e73fadc466dbf11afb4dcdb01a5c0a5becc02828fb04f5a7850febca

Observation aa4bac3f-d173-411c-9854-dd476813a38b · outbound

This paper cites I just started the task. I need to plan about what I will do.

Enhancing LLM Agent Safety via Causal Influence Prompting I just started the task. I need to plan about what I will do

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:06:55.134599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:06:54.906289Z digest=sha256:d0463c9b3fdeac02e440970c43ce314ef65b76e2124335fd7059c3f31882c1c3

Observation 86fb206e-dce5-485c-88fd-d576cc20ad21 · outbound

This paper cites Act: finish **Remember**: You should take only one of the 4 actions in each turn, and answer exactly in the format above.

Enhancing LLM Agent Safety via Causal Influence Prompting Act: finish **Remember**: You should take only one of the 4 actions in each turn, and answer exactly in the format above

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:06:55.097303Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:06:54.919007Z digest=sha256:c1d8e89ad592083ee939e3f0b2c1f0a298b3535109241a1ac83fcfe73901451e

Observation 3fb18351-b988-4cbe-bc5f-fe66e1e43084 · outbound

This paper cites Act: execute ```only bash or python # put the codes here ```.

Enhancing LLM Agent Safety via Causal Influence Prompting Act: execute ```only bash or python # put the codes here ```

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:06:55.125133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:06:54.922208Z digest=sha256:e39fb5b1a925cc4ea7dfbb4aca9b549e5d506055e4b9580c66929ecf1a05bbe0

Observation 9d118470-9084-4268-ac8f-7a55fa31a81d · outbound

This paper cites Act: write ```only bash or python # put the codes here ```.

Enhancing LLM Agent Safety via Causal Influence Prompting Act: write ```only bash or python # put the codes here ```

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:06:55.116108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:06:54.925418Z digest=sha256:8af74907ca05cd45dfd4d3a7f0b7aa7d49c1de02bd7fc7379bdc38c4338bc031

Observation 86272890-116d-4cc4-b818-5f076d3c90a0 · outbound

This paper cites Act: reject.

Enhancing LLM Agent Safety via Causal Influence Prompting Act: reject

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:06:55.107024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:06:54.928332Z digest=sha256:034211d027c74f3c9499bc599540405c02bdae0e1df191d15c753757c4966361

Observation 0cbfe418-26b2-4c1d-af9e-01be9b3f4a1d · outbound

This paper cites Act: finish 19 **Remember**: You should take only one of the 4 actions in each turn, and answer exactly in the format above.

Enhancing LLM Agent Safety via Causal Influence Prompting Act: finish 19 **Remember**: You should take only one of the 4 actions in each turn, and answer exactly in the format above

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:06:55.087871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:06:54.931069Z digest=sha256:422ae51b4a3cfb676563fdf7890a1fd6da1864857970f8abd15269fc2ac93f3a

Observation 3abe44b3-f66d-4679-b9b4-5c6add7c27b3 · outbound

This paper cites Ensure your reasoning includes Node Identification, Helpfulness, and Safety based on the given CID.

Enhancing LLM Agent Safety via Causal Influence Prompting Ensure your reasoning includes Node Identification, Helpfulness, and Safety based on the given CID

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:06:55.078660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:06:54.934102Z digest=sha256:9903eaf7fee5c5be27cabc76b6db1abb2acdeb440dff21bd385b5da9483930c7

Observation 9b2627ef-5aea-442c-9c33-79dc8588eecf · outbound

This paper cites Ensure your reasoning includes Node Identification, Helpfulness, and Safety based on the given CID.

Enhancing LLM Agent Safety via Causal Influence Prompting Ensure your reasoning includes Node Identification, Helpfulness, and Safety based on the given CID

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:06:55.069352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:06:54.937199Z digest=sha256:bd2a6a754fffd83e0d6fdbd5a1304ee214ba00b5a1f6935d025d33962d17ebe1

Observation 983c22f2-5ec3-4648-8c48-5442ce7cb439 · outbound

This paper cites Ensure your reasoning includes Node Identification, Helpfulness, and Safety based on the given CID.

Enhancing LLM Agent Safety via Causal Influence Prompting Ensure your reasoning includes Node Identification, Helpfulness, and Safety based on the given CID

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:06:55.059974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:06:54.940442Z digest=sha256:3c8cf13e98f60bc96748df0f0978853558afc20879e659b02c0414da15b3af70

Observation 5adaf6db-5fb3-4474-9dda-e007d5b9f530 · outbound

This paper cites Ensure your reasoning includes Node Identification, Helpfulness, and Safety based on the given CID.

Enhancing LLM Agent Safety via Causal Influence Prompting Ensure your reasoning includes Node Identification, Helpfulness, and Safety based on the given CID

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:06:55.050733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:06:54.943528Z digest=sha256:8a4d3aba616e7122d169772c02c837c9f53356993c3c15232f6ea677bb6f6fa6

Observation de1902b1-a57f-4305-8d42-9f755e7e69d9 · outbound

This paper cites an unresolved cited work.

Enhancing LLM Agent Safety via Causal Influence Prompting Unresolved cited work

Reference 31

Resolution
unresolved
raw_fallback, observed 2026-08-06T21:06:55.041554Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:06:54.947116Z digest=sha256:d4d8d325659e201032b7827afa696ad3def48602fddc3a626f1fec12270542bb

Observation 7d3fea22-c9c1-4540-a782-8834c71e097c · outbound

This paper cites - Safety: Identify potential risks from the CID and ensure the selected action prevent these risks.

Enhancing LLM Agent Safety via Causal Influence Prompting - Safety: Identify potential risks from the CID and ensure the selected action prevent these risks

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:06:55.032674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:06:54.950133Z digest=sha256:47599586f34447820a668c3c8867ace83ef7b43159f2e2abceef6c9c34e24671

Observation 37bb5fd9-d81d-4ae0-b042-eae4a9e82eb0 · outbound

This paper cites I”. </rule> <rule> Never ever use phrases like “I can’t assist with that.

Enhancing LLM Agent Safety via Causal Influence Prompting I”. </rule> <rule> Never ever use phrases like “I can’t assist with that

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:06:55.022977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:06:54.953081Z digest=sha256:eb095ea77a390d563055b83c158ffb1bb888a8437f624f00f127ae9f38cc3d6c

Observation 05c50f3a-479a-4bf1-8854-926c8b6f34b1 · outbound

This paper cites Robust agents learn causal world models.

Enhancing LLM Agent Safety via Causal Influence Prompting Robust agents learn causal world models

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-06T21:06:54.862967Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:06:54.862967Z digest=sha256:8191c64a1e008d40ebe63034c78329bb4c935053002a1f89589a7a7921832a4d

Observation f9e097b5-2808-4588-b28c-c23690e3e36e · outbound

This paper cites Talk like a Graph: Encoding Graphs for Large Language Models.

Enhancing LLM Agent Safety via Causal Influence Prompting Talk like a Graph: Encoding Graphs for Large Language Models

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-06T21:06:54.843692Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:06:54.843692Z digest=sha256:00fe57b081ee4bc5de7f63ae350431bf701298bd630fbb722ec98da3546adf4b

Observation f9690cfd-44b1-4fef-9248-8708558bf013 · outbound

This paper cites RedCode: Risky Code Execution and Generation Benchmark for Code Agents.

Enhancing LLM Agent Safety via Causal Influence Prompting RedCode: Risky Code Execution and Generation Benchmark for Code Agents

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-06T21:06:54.851170Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:06:54.851170Z digest=sha256:a3eded51564fa7fee1be46f430eb32208fc62ec7ba4c5cafec8f3baf3c05e80b

Pith citing papers

Observation 8507fbf6-4904-41cc-ba87-804fd5cd7555 · inbound

Galaxy: A Cognition-Centered Framework for Proactive, Privacy-Preserving, and Self-Evolving LLM Agents cites this paper.

Galaxy: A Cognition-Centered Framework for Proactive, Privacy-Preserving, and Self-Evolving LLM Agents Enhancing LLM Agent Safety via Causal Influence Prompting

Reference 9

Resolution
verified exact
local_arxiv, observed 2026-08-06T01:01:40.339519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T01:01:38.141860Z digest=sha256:cd2856ca557a0d5ba9b905de28fc8cf4df94921c6488591fe7fd9e3d35572ad6