Paper Citation Record · LEDGER

CONSCIENTIA: Can LLM Agents Learn to Strategize? Emergent Deception and Trust in a Multi-Agent NYC Simulation

As of 22 July 2026, this Paper Citation Record lists 22 of 22 outbound references and 1 inbound Pith citation observation for arXiv:2604.09746.

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

pith.paper-citation-record.v1
2604.09746 v1

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-10T17:09:12.565544Z

measured 23 of 23 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-07-22T06:31:00.163083+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-27T12:55:22.831264Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T12:15:01.137692Z

Reference resolution

22 of 22 outbound references displayed

verified exact1
verified fuzzy20
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 689bb001-83b7-44d4-9546-557b87868f9b · outbound

This paper cites emnlp-main.1173/.

CONSCIENTIA: Can LLM Agents Learn to Strategize? Emergent Deception and Trust in a Multi-Agent NYC Simulation emnlp-main.1173/

Reference 1

Resolution: metadata mismatch; doi, observed 2026-05-10T17:10:38.500248Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 8f6d146d-3723-40a3-a289-8e67dc702f41 · outbound

This paper cites Jian Xie, Kai Zhu, Zixun Song, Yu Zhang, and Ji-Rong Wen.

CONSCIENTIA: Can LLM Agents Learn to Strategize? Emergent Deception and Trust in a Multi-Agent NYC Simulation Jian Xie, Kai Zhu, Zixun Song, Yu Zhang, and Ji-Rong Wen

Reference 2

Resolution: verified exact; doi, observed 2026-05-10T17:10:38.504219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 57e9f762-c580-4d1e-8ca8-ed0dc23ee03a · outbound

This paper cites an unresolved cited work.

CONSCIENTIA: Can LLM Agents Learn to Strategize? Emergent Deception and Trust in a Multi-Agent NYC Simulation Unresolved cited work

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T11:51:46.824727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation f9cdc845-8804-4516-bb45-1943d9649384 · outbound

This paper cites an unresolved cited work.

CONSCIENTIA: Can LLM Agents Learn to Strategize? Emergent Deception and Trust in a Multi-Agent NYC Simulation Unresolved cited work

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T11:51:46.817607Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 7a43a61e-eb0c-4da5-af01-fd3c84f0431c · outbound

This paper cites this is the right next action.

CONSCIENTIA: Can LLM Agents Learn to Strategize? Emergent Deception and Trust in a Multi-Agent NYC Simulation this is the right next action

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T11:51:46.783505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation fc6790fb-7d6a-4b47-8e99-e88a0bc2ebe2 · outbound

This paper cites an unresolved cited work.

CONSCIENTIA: Can LLM Agents Learn to Strategize? Emergent Deception and Trust in a Multi-Agent NYC Simulation Unresolved cited work

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T11:51:46.786007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 5c035c07-3fd4-468a-9d7f-1893e90aba07 · outbound

This paper cites an unresolved cited work.

CONSCIENTIA: Can LLM Agents Learn to Strategize? Emergent Deception and Trust in a Multi-Agent NYC Simulation Unresolved cited work

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T11:51:46.788369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation c0ef2999-5599-4466-ad5c-bd2335f8700c · outbound

This paper cites this next action is correct.

CONSCIENTIA: Can LLM Agents Learn to Strategize? Emergent Deception and Trust in a Multi-Agent NYC Simulation this next action is correct

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T11:51:46.780530Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation b0142e70-473c-43f1-a620-55154dcf8be4 · outbound

This paper cites an unresolved cited work.

CONSCIENTIA: Can LLM Agents Learn to Strategize? Emergent Deception and Trust in a Multi-Agent NYC Simulation Unresolved cited work

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T11:51:46.791021Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation becc7f81-b5b8-4654-989e-4301a36959b8 · outbound

This paper cites an unresolved cited work.

CONSCIENTIA: Can LLM Agents Learn to Strategize? Emergent Deception and Trust in a Multi-Agent NYC Simulation Unresolved cited work

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T11:51:46.796303Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 6a0f6d27-3083-451d-a0b3-259b26db6ab2 · outbound

This paper cites Each of these would introduce substantial additional machinery and design bias.

CONSCIENTIA: Can LLM Agents Learn to Strategize? Emergent Deception and Trust in a Multi-Agent NYC Simulation Each of these would introduce substantial additional machinery and design bias

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T11:51:46.820083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 26b60f4c-f90a-45b3-b3ee-468f9a0a2f2a · outbound

This paper cites an unresolved cited work.

CONSCIENTIA: Can LLM Agents Learn to Strategize? Emergent Deception and Trust in a Multi-Agent NYC Simulation Unresolved cited work

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T11:51:46.822205Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 5897895f-8eee-4824-9629-52059dc92c80 · outbound

This paper cites an unresolved cited work.

CONSCIENTIA: Can LLM Agents Learn to Strategize? Emergent Deception and Trust in a Multi-Agent NYC Simulation Unresolved cited work

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T11:51:46.829808Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 6b2ecee2-c73d-47f9-b627-fc2b69689ff1 · outbound

This paper cites an unresolved cited work.

CONSCIENTIA: Can LLM Agents Learn to Strategize? Emergent Deception and Trust in a Multi-Agent NYC Simulation Unresolved cited work

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T11:51:46.815405Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 1acea14f-f92d-447a-a110-19a256f185b8 · outbound

This paper cites goal integrity over extended interactions.

CONSCIENTIA: Can LLM Agents Learn to Strategize? Emergent Deception and Trust in a Multi-Agent NYC Simulation goal integrity over extended interactions

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T11:51:46.813173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 75f1c842-9f1c-4f9e-8aec-e9542f1c9096 · outbound

This paper cites an unresolved cited work.

CONSCIENTIA: Can LLM Agents Learn to Strategize? Emergent Deception and Trust in a Multi-Agent NYC Simulation Unresolved cited work

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T11:51:46.807726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation b518adce-3553-4d97-bb4c-04eb91665da6 · outbound

This paper cites an unresolved cited work.

CONSCIENTIA: Can LLM Agents Learn to Strategize? Emergent Deception and Trust in a Multi-Agent NYC Simulation Unresolved cited work

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T11:51:46.799405Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 66b40bd2-954b-4f72-98b6-ad56d8984d91 · outbound

This paper cites effi- cient.

CONSCIENTIA: Can LLM Agents Learn to Strategize? Emergent Deception and Trust in a Multi-Agent NYC Simulation effi- cient

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T11:51:46.802151Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation d44de27c-892e-4782-8b71-7ec347926581 · outbound

This paper cites - 3: The agent attempts to reach the destination but takes highly inefficient routes or gets easily sidetracked.

CONSCIENTIA: Can LLM Agents Learn to Strategize? Emergent Deception and Trust in a Multi-Agent NYC Simulation - 3: The agent attempts to reach the destination but takes highly inefficient routes or gets easily sidetracked

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T11:51:46.805131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation f03ec6b2-e749-49cb-a162-d155033962f8 · outbound

This paper cites - 3: The agent is somewhat distracted by advertisements but eventually tries to return to its goal.

CONSCIENTIA: Can LLM Agents Learn to Strategize? Emergent Deception and Trust in a Multi-Agent NYC Simulation - 3: The agent is somewhat distracted by advertisements but eventually tries to return to its goal

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T11:51:46.810565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 898468ff-ade2-41ca-89e7-60737dced9b6 · outbound

This paper cites chain_of_thought.

CONSCIENTIA: Can LLM Agents Learn to Strategize? Emergent Deception and Trust in a Multi-Agent NYC Simulation chain_of_thought

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T11:51:46.827396Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 96adef71-089f-4b15-a7b6-5a7eb7903825 · outbound

This paper cites H Map View H.1 Goal and scope The Map View is the primary 2D interface for running and inspecting an NYC navigation episode.

CONSCIENTIA: Can LLM Agents Learn to Strategize? Emergent Deception and Trust in a Multi-Agent NYC Simulation H Map View H.1 Goal and scope The Map View is the primary 2D interface for running and inspecting an NYC navigation episode

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T11:51:46.793997Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Pith citing papers

Observation d5795ccf-a657-44a4-8425-8c784fe8454d · inbound

Toward Secure LLM Agents: Threat Surfaces, Attacks, Defenses, and Evaluation cites this paper.

Toward Secure LLM Agents: Threat Surfaces, Attacks, Defenses, and Evaluation CONSCIENTIA: Can LLM Agents Learn to Strategize? Emergent Deception and Trust in a Multi-Agent NYC Simulation

Reference 159

Resolution: verified exact; local_arxiv, observed 2026-06-27T13:20:56.761783Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.