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Paper Citation Record · LEDGER

EnvX: Agentize Everything with Agentic AI

As of 16 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 1 inbound Pith citation observation for arXiv:2509.08088.

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

pith.paper-citation-record.v1
2509.08088 v1

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T21:20:45.948548Z

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-16T13:19:07.715653Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-16T13:20:57.883822Z

Reference resolution

15 of 15 outbound references displayed

  • verified exact0
  • verified fuzzy3
  • unresolved11
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation dee6fb8f-b361-4cfe-9864-349918648f74 · outbound

This paper cites Accessed: 2025-09-06.

EnvX: Agentize Everything with Agentic AI Accessed: 2025-09-06

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-04T21:20:46.220155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-04T21:20:45.882781Z digest=sha256:76bbf327a27de30cbf9aa0d8c31cfec90b45474b1051ca1fa63b9c222ecb3044

Observation a64ffde6-d67c-4408-8506-7ee9cb2b8a26 · outbound

This paper cites DeepSeek-V3 Technical Report.

EnvX: Agentize Everything with Agentic AI DeepSeek-V3 Technical Report

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-04T21:20:45.892218Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T21:20:45.892218Z digest=sha256:a658f51732c6dda084b43385b6061591e9a2e1c977c6db40876df6d95489459f

Observation d0898227-9d0f-4a57-9e7c-ef5299cd34d5 · outbound

This paper cites Accessed: 2025- 04-21.

EnvX: Agentize Everything with Agentic AI Accessed: 2025- 04-21

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-04T21:20:46.203371Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-04T21:20:45.897031Z digest=sha256:e7ce9011e810330821e866f7ee268f53e392c95e5b937c5f0681521d8bcd58fa

Observation 94ec5409-dd22-4949-8799-c5a6beb22fc1 · outbound

This paper cites RepoAgent: An LLM-Powered Open-Source Framework for Repository-level Code Documentation Generation.

EnvX: Agentize Everything with Agentic AI RepoAgent: An LLM-Powered Open-Source Framework for Repository-level Code Documentation Generation

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-04T21:20:45.911359Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T21:20:45.911359Z digest=sha256:859dd48cf46446496364fa4e65eb7df3335aa52384d8f5067b9902afbd0dd0d3

Observation 4dcd7a6c-258f-40ad-ac1a-16ef2484cf14 · outbound

This paper cites ISBN 979-8-89176-251-0.

EnvX: Agentize Everything with Agentic AI ISBN 979-8-89176-251-0

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-04T21:20:45.916051Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T21:20:45.916051Z digest=sha256:0d88eed88d314fa9fc7c3f25c3aa552d67e1326ef8e6eda3a3c34e7723583516

Observation a3b8af7d-6860-4107-949c-2cef6a48f26a · outbound

This paper cites 9 OpenAI.

EnvX: Agentize Everything with Agentic AI 9 OpenAI

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-04T21:20:45.920630Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T21:20:45.920630Z digest=sha256:a5490cf6f37608f0897791b7e1ed0c03c021a67cfcb1563d5a2f288530943c6c

Observation a789dac1-d406-4cdf-a6ea-b094b7e21226 · outbound

This paper cites OpenAI, :, Aaron Hurst, Adam Lerer, Adam P.

EnvX: Agentize Everything with Agentic AI OpenAI, :, Aaron Hurst, Adam Lerer, Adam P

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-04T21:20:46.186427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-04T21:20:45.925679Z digest=sha256:9886660794a3945b6a868ee09b7960ddd223249792beab74b4c6baaae3b9e874

Observation 35c25e97-4ec3-4ab1-96e0-eb357a791710 · outbound

This paper cites GPT-4o System Card.

EnvX: Agentize Everything with Agentic AI GPT-4o System Card

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-04T21:20:45.929873Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T21:20:45.929873Z digest=sha256:9ad016c69ea97cbbe8d71c30188f13edc64156d82a36e1c8a2ee84fc6d2e4a7f

Observation 1c755ac7-f8c9-4194-8828-b1049f233733 · outbound

This paper cites ChatDev: Communicative Agents for Software Development.

EnvX: Agentize Everything with Agentic AI ChatDev: Communicative Agents for Software Development

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-04T21:20:45.934538Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T21:20:45.934538Z digest=sha256:600e3d0d06beeeaa8f4962fc3fc4801ea55926032fd345d15710d61a0bd71705

Observation 795c6c5c-48b8-4da5-b7a0-f3c0b58256b8 · outbound

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

EnvX: Agentize Everything with Agentic AI ReAct: Synergizing Reasoning and Acting in Language Models

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-04T21:20:45.944103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T21:20:45.944103Z digest=sha256:47fd240e5a9468cca18c34a7cd89eeda8d9197c24ab0f0290b919aca5c9ac7a2

Observation 10d1cfa8-c264-4667-8835-78ea5d5d083c · outbound

This paper cites Large Language Models Meet NL2Code: A Survey.

EnvX: Agentize Everything with Agentic AI Large Language Models Meet NL2Code: A Survey

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-04T21:20:45.948548Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T21:20:45.948548Z digest=sha256:cb6061a2a35c00d3f799116bb5f26161801fbc39dee4bc3c5982227c719571a1

Observation c9a301b8-1d84-4a15-a42d-d469ae8ea5ff · outbound

This paper cites Learning Multiagent Communication with Backpropagation.

EnvX: Agentize Everything with Agentic AI Learning Multiagent Communication with Backpropagation

Reference 2016

Resolution
unresolved
no resolver link, observed 2026-08-04T21:20:45.939454Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T21:20:45.939454Z digest=sha256:76d883c8bbf7be8633368112aa43b61267c0597c53b88af1491cc1ba4c5bc95c

Observation f275dabf-10dd-468a-b3a2-a6bdc5f93c34 · outbound

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

EnvX: Agentize Everything with Agentic AI CAMEL: Communicative Agents for "Mind" Exploration of Large Language Model Society

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-04T21:20:45.906498Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T21:20:45.906498Z digest=sha256:19a55eb87c0979aa871f2b8140407119b03841455e75531d04e0e7db5ea82c7d

Observation 197a7dad-89fe-4747-a578-70a599c90bf3 · outbound

This paper cites Understanding the planning of LLM agents: A survey.

EnvX: Agentize Everything with Agentic AI Understanding the planning of LLM agents: A survey

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-04T21:20:45.901778Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T21:20:45.901778Z digest=sha256:2d2024cc2756818745c9440ef5777c483e9ad26d61479126e587f8a2b1a17026

Observation e48606da-0a8d-45e3-8735-6b36168d287e · outbound

This paper cites RepoForge: Training a SOTA Fast-thinking SWE Agent with an End-to-End Data Curation Pipeline Synergizing SFT and RL at Scale.

EnvX: Agentize Everything with Agentic AI RepoForge: Training a SOTA Fast-thinking SWE Agent with an End-to-End Data Curation Pipeline Synergizing SFT and RL at Scale

Reference 2025

Resolution
metadata mismatch
local_arxiv, observed 2026-08-04T21:20:46.170114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-04T21:20:45.887497Z digest=sha256:e849e94376ce1dc10ff0b83571a2bf52c420b604673983c82b7675214cfb9e95

Pith citing papers

Observation 5ee44d6b-2f89-469e-b24d-f1374be1887d · inbound

Holos: A Web-Scale LLM-Based Multi-Agent System for the Agentic Web cites this paper.

Holos: A Web-Scale LLM-Based Multi-Agent System for the Agentic Web EnvX: Agentize Everything with Agentic AI

Reference 39

Resolution
verified exact
arxiv_id, observed 2026-05-16T13:20:57.885444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-16T13:19:07.715653Z digest=sha256:2bad7c9cbc61faa23ef599c974c6040a0be4c9d840178f4eea7fa157c1187936