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Paper Citation Record · LEDGER

AI Agents Do Not Fail Alone:The Context Fails First

As of 18 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 1 inbound Pith citation observation for arXiv:2607.14275.

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

pith.paper-citation-record.v1
2607.14275 v1

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T02:38:49.080197Z

measured 27 of 27 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T03:31:34.103820Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

26 of 26 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved25
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c3ce403b-2203-4c8e-b62d-aaa3dc7df714 · outbound

This paper cites Introducing the model context protocol, 11 2024.

AI Agents Do Not Fail Alone:The Context Fails First Introducing the model context protocol, 11 2024

Reference 1

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source=pdf_text observed=2026-08-02T02:38:45.927974Z digest=sha256:8c5d79fbbc8c9037a4e1cfb2edeb5055cc49d930dd6eb03d6f471c9d8f2fae7c

Observation c26b7bf7-fa92-476a-a9bd-9cd6330950e3 · outbound

This paper cites Effective context engineering for ai agents, 9 2025.

AI Agents Do Not Fail Alone:The Context Fails First Effective context engineering for ai agents, 9 2025

Reference 2

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source=pdf_text observed=2026-08-02T02:38:46.047871Z digest=sha256:9b996502ad20bf2a61118a7f41792ccf59a3959f948a1c68483143bbb022eaed

Observation 5dd34fdd-9f5d-44c1-b682-7b9f767bb26c · outbound

This paper cites Ai agents need memory control over more context, 2026.

AI Agents Do Not Fail Alone:The Context Fails First Ai agents need memory control over more context, 2026

Reference 3

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source=pdf_text observed=2026-08-02T02:38:46.169622Z digest=sha256:03ce01ad14bf17524c3e72f97f4f2ea212803f873b2fa9301ebc0f03d746c6a0

Observation 02ed60e5-9b82-418b-8355-e39f4a983281 · outbound

This paper cites Human-on-the-bridge: Scalable evaluation for ai agents, 2026.

AI Agents Do Not Fail Alone:The Context Fails First Human-on-the-bridge: Scalable evaluation for ai agents, 2026

Reference 4

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source=pdf_text observed=2026-08-02T02:38:46.316283Z digest=sha256:84f3fd21eeb0d54b5a289ef2152cdd016a110d17ada9b65d75bf7a4416e5121f

Observation fac75aa7-8f2a-4ae8-baa5-61d393044d77 · outbound

This paper cites ProofAgent Harness: Open Infrastructure for Adversarial Evaluation of AI Agents.

AI Agents Do Not Fail Alone:The Context Fails First ProofAgent Harness: Open Infrastructure for Adversarial Evaluation of AI Agents

Reference 5

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source=pdf_text observed=2026-08-02T02:38:46.490717Z digest=sha256:70e92244e31666ddc3969e1b3c786a3021a35bdcf35939676ce76457abd69e32

Observation fe337e2b-d579-4a9b-ba63-dc4954aee6f2 · outbound

This paper cites ACON: Optimizing Context Compression for Long-horizon LLM Agents.

AI Agents Do Not Fail Alone:The Context Fails First ACON: Optimizing Context Compression for Long-horizon LLM Agents

Reference 6

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source=pdf_text observed=2026-08-02T02:38:46.603414Z digest=sha256:e7ed765821aedb9d0c539fb56d6237075b5e91b17d6aabd82f9512c26c6065b5

Observation 1bd50b52-fc49-42ad-9ac8-65fec5dbfaee · outbound

This paper cites Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks.

AI Agents Do Not Fail Alone:The Context Fails First Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks

Reference 7

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source=pdf_text observed=2026-08-02T02:38:46.765793Z digest=sha256:ac3089833c60da68e39f067126d19c35820d486c4e2cb4fad61eae8299f8f720

Observation 45ad74f9-95f2-490d-be29-3b292f910f96 · outbound

This paper cites CAMEL: Communicative Agents for "Mind" Exploration of Large Language Model Society.

AI Agents Do Not Fail Alone:The Context Fails First CAMEL: Communicative Agents for "Mind" Exploration of Large Language Model Society

Reference 8

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source=pdf_text observed=2026-08-02T02:38:46.879009Z digest=sha256:afdc1bf857e5fbd8247b00d8dc809d1ffcba73658109062c3973520e80127dcb

Observation 92b9ae54-77a5-4c4a-b4a6-6c7cdfb34616 · outbound

This paper cites Prompt Compression for Large Language Models: A Survey.

AI Agents Do Not Fail Alone:The Context Fails First Prompt Compression for Large Language Models: A Survey

Reference 9

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source=pdf_text observed=2026-08-02T02:38:47.039965Z digest=sha256:1fa724fbc9f8dcef8abf9828e013b356dc5207a24f0466786f267e354cc95672

Observation 4990812c-7b79-4045-8ff6-e12bbcc5851e · outbound

This paper cites Liu, Kevin Lin, John Hewitt, Ashwin Paranjape, Michele Bevilacqua, Fabio Petroni, and Percy Liang.

AI Agents Do Not Fail Alone:The Context Fails First Liu, Kevin Lin, John Hewitt, Ashwin Paranjape, Michele Bevilacqua, Fabio Petroni, and Percy Liang

Reference 10

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no resolver link, observed 2026-08-02T02:38:47.154515Z

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source=pdf_text observed=2026-08-02T02:38:47.154515Z digest=sha256:026be3f9c328da9ea3c13ac7bac6e47a7e4d3c286203d0fee83ad5c0a65b5d3e

Observation 773e0977-6389-4dfc-a21e-ff6e212a73e4 · outbound

This paper cites Prompt Injection attack against LLM-integrated Applications.

AI Agents Do Not Fail Alone:The Context Fails First Prompt Injection attack against LLM-integrated Applications

Reference 11

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source=pdf_text observed=2026-08-02T02:38:47.280246Z digest=sha256:27da78582ad190b112282b4d75d48ced6521363ff89e93719b3180c2c037427f

Observation e0da3d0f-419b-4e21-b677-115ce5ea4467 · outbound

This paper cites A survey of context engineering for large language models,.

AI Agents Do Not Fail Alone:The Context Fails First A survey of context engineering for large language models,

Reference 12

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source=pdf_text observed=2026-08-02T02:38:47.409452Z digest=sha256:03ceb3d4ed61192ef3208567044978cc51bb43ce204d044e8eb126508cda8789

Observation b39768a9-99f6-4412-9eab-204bf3ae69ba · outbound

This paper cites Llm01:2025 prompt injection, 2025.

AI Agents Do Not Fail Alone:The Context Fails First Llm01:2025 prompt injection, 2025

Reference 13

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source=pdf_text observed=2026-08-02T02:38:47.698565Z digest=sha256:d790228ba7ae34ab9706261e9facfb8b096e8b49627dae8de8466ec6964fe8b8

Observation f592de2b-5592-459d-9ee8-25eb22bb57e9 · outbound

This paper cites MemGPT: Towards LLMs as Operating Systems.

AI Agents Do Not Fail Alone:The Context Fails First MemGPT: Towards LLMs as Operating Systems

Reference 14

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source=pdf_text observed=2026-08-02T02:38:47.860303Z digest=sha256:7532e7dd361c2eb9d342f09bbcd39521e9f9b229be0761f81f02c30183c15c39

Observation d204d3e9-2e92-4f6b-a759-224c0a2ab2a3 · outbound

This paper cites A Systematic Survey of Prompt Engineering in Large Language Models: Techniques and Applications.

AI Agents Do Not Fail Alone:The Context Fails First A Systematic Survey of Prompt Engineering in Large Language Models: Techniques and Applications

Reference 15

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source=pdf_text observed=2026-08-02T02:38:47.940219Z digest=sha256:f615180a04fb0550160d71744b50ef18f0af00d5621fb6fcb2a94234c51a42f2

Observation 7dd0c48d-7cf8-4789-9765-1ed9d7b2061a · outbound

This paper cites Toolformer: Language models can teach themselves to use tools.

AI Agents Do Not Fail Alone:The Context Fails First Toolformer: Language models can teach themselves to use tools

Reference 16

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source=pdf_text observed=2026-08-02T02:38:48.105303Z digest=sha256:2cc3b5f00934504ad73170e0b01e03aeac7b73c61d3d3c83f014295de310674e

Observation fb391a0c-631e-4c38-b74d-b0b4178b473f · outbound

This paper cites Active context compression: Autonomous memory management in llm agents, 2026.

AI Agents Do Not Fail Alone:The Context Fails First Active context compression: Autonomous memory management in llm agents, 2026

Reference 17

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source=pdf_text observed=2026-08-02T02:38:48.385295Z digest=sha256:97bc803939a64992ca664e866a656ec4baaa3665f61dfec81796f25f3b0c82ca

Observation 1b5f1828-8ab8-4c60-a700-e71a15f0dd35 · outbound

This paper cites Le, Ed H.

AI Agents Do Not Fail Alone:The Context Fails First Le, Ed H

Reference 18

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source=pdf_text observed=2026-08-02T02:38:48.487176Z digest=sha256:3405b506965995b6cb1e63996af351236b64e37c5a49ebf8a08ad7058c4eb313

Observation ee579114-9914-441d-ab5a-0b4adad14684 · outbound

This paper cites Chain-of-Thought Prompting Elicits Reasoning in Large Language Models.

AI Agents Do Not Fail Alone:The Context Fails First Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

Reference 19

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source=pdf_text observed=2026-08-02T02:38:48.610696Z digest=sha256:27ec3579cb520e9325ad5e67c9cb8e60ccc91e501885068bafaa5cba9ede188a

Observation ef179bdb-3a1f-43f4-8f9b-bf1af121a956 · outbound

This paper cites AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation.

AI Agents Do Not Fail Alone:The Context Fails First AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation

Reference 20

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source=pdf_text observed=2026-08-02T02:38:48.718296Z digest=sha256:187e0edc9093ea3105fa44baa9ff5c072f2d3ea9fe07607902b7097c8040501f

Observation 663079fe-9f88-441c-8b98-5a49eb3ab1d6 · outbound

This paper cites Self-Consistency Improves Chain of Thought Reasoning in Language Models.

AI Agents Do Not Fail Alone:The Context Fails First Self-Consistency Improves Chain of Thought Reasoning in Language Models

Reference 21

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source=pdf_text observed=2026-08-02T02:38:48.559418Z digest=sha256:a77dfd66e43c60aefb8feb31e90c147cdff3a415126c344e5611feb5742750b2

Observation da8e9188-3e49-4cd6-a8d6-d231cdc9eaf6 · outbound

This paper cites Agentic Context Engineering: Evolving Contexts for Self-Improving Language Models.

AI Agents Do Not Fail Alone:The Context Fails First Agentic Context Engineering: Evolving Contexts for Self-Improving Language Models

Reference 22

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source=pdf_text observed=2026-08-02T02:38:48.945855Z digest=sha256:c1e998e8a137956f05449db52294c7de1f013a967352f00b86000b207bf5bd03

Observation 4e0528f9-fcf1-4fb8-8b42-baddaae5b5ed · outbound

This paper cites Large Language Models Are Human-Level Prompt Engineers.

AI Agents Do Not Fail Alone:The Context Fails First Large Language Models Are Human-Level Prompt Engineers

Reference 23

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source=pdf_text observed=2026-08-02T02:38:49.080197Z digest=sha256:eb7774fcf96e0ba9f76920da53a1a1a9e93b9cede3304f25a1862c4746a1f18a

Observation 7c243230-4327-4817-8d35-f52dd2c4b0ec · outbound

This paper cites ReAct: Synergizing Reasoning and Acting in Language Models.

AI Agents Do Not Fail Alone:The Context Fails First ReAct: Synergizing Reasoning and Acting in Language Models

Reference 24

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source=pdf_text observed=2026-08-02T02:38:48.824724Z digest=sha256:b9ab36b872d66bcd54ea9b0d94344caabee3432254f25cc553ddec1b463f61fd

Observation 1e155c0f-92ef-4106-a2b9-a3d46faa450a · outbound

This paper cites Toolformer: Language Models Can Teach Themselves to Use Tools.

AI Agents Do Not Fail Alone:The Context Fails First Toolformer: Language Models Can Teach Themselves to Use Tools

Reference 2023

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source=pdf_text observed=2026-08-02T02:38:48.254902Z digest=sha256:ffdef5f30b31758a6a90073267a6bb1b7083c8f0042ff80f69c254f0cba6ed4e

Observation eb0691f8-b1dc-4e2b-9cee-a15e03f390c1 · outbound

This paper cites A Survey of Context Engineering for Large Language Models.

AI Agents Do Not Fail Alone:The Context Fails First A Survey of Context Engineering for Large Language Models

Reference 2025

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source=pdf_text observed=2026-08-02T02:38:47.523799Z digest=sha256:dd82b78ddc1f0ed425f0a62499fb233921efe1f85d8743ff67c5e882e33f4bc3

Pith citing papers

Observation 042c3e5e-c408-4d04-b10c-47bf93c6099a · inbound

Stop Shipping AI Agents on Faith: Capability Is Not Production Readiness cites this paper.

Stop Shipping AI Agents on Faith: Capability Is Not Production Readiness AI Agents Do Not Fail Alone:The Context Fails First

Reference 2026

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source=pdf_text observed=2026-08-01T03:31:34.103820Z digest=sha256:731490309eb1ba3a250d4b9a7f2f4a8cbc1b8d5cb4831dfb3830e4e7eee91c5b