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Paper Citation Record · LEDGER

Benchmarking Deep Search over Heterogeneous Enterprise Data

As of 7 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 5 inbound Pith citation observations for arXiv:2506.23139.

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

pith.paper-citation-record.v1
2506.23139 v1

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:53:44.926345Z

measured 39 of 39 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 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T23:55:37.731166Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T09:41:21.990951Z

Reference resolution

34 of 34 outbound references displayed

  • verified exact3
  • verified fuzzy0
  • unresolved31
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0f8ab542-f976-4b58-98a1-5603f20ab25a · outbound

This paper cites an unresolved cited work.

Benchmarking Deep Search over Heterogeneous Enterprise Data Unresolved cited work

Reference 1

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unresolved
raw_fallback, observed 2026-08-06T21:54:43.126456Z

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=arxiv_source observed=2026-08-06T21:53:38.967396Z digest=sha256:70d3a0b14fd96c56d80aa5aa4dfe800a2d2882a2221a7b2f30e0e07637046d9a

Observation 15e6f62f-f162-4d47-ba67-38fd7f4ee7ca · outbound

This paper cites an unresolved cited work.

Benchmarking Deep Search over Heterogeneous Enterprise Data Unresolved cited work

Reference 2

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no resolver link, observed 2026-08-06T21:53:39.128524Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:53:39.128524Z digest=sha256:653de28787ca7d9106f445d3f957d44c531917f85e6da07bee19b921718949b6

Observation 5867456f-6951-44f0-854f-523fcd1954a7 · outbound

This paper cites WixQA: A Multi-Dataset Benchmark for Enterprise Retrieval-Augmented Generation.

Benchmarking Deep Search over Heterogeneous Enterprise Data WixQA: A Multi-Dataset Benchmark for Enterprise Retrieval-Augmented Generation

Reference 3

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no resolver link, observed 2026-08-06T21:53:39.336864Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-06T21:53:39.336864Z digest=sha256:40b506285b7e1f1c3bb27b52cade8f0f9f976d76e044b5358e08abb96c40bb1a

Observation 419b7cb4-5e07-4df9-918f-d6020c62e30b · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

Benchmarking Deep Search over Heterogeneous Enterprise Data DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 4

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source=arxiv_source observed=2026-08-06T21:53:39.518225Z digest=sha256:8b617a76179434da5b492ac38699ce694ddfe00eec9a3b5ee173cbb5a5e8dd82

Observation 25ed4091-b5fb-445f-ad2e-5fc4ba41faa7 · outbound

This paper cites DeepSeek-V3 Technical Report.

Benchmarking Deep Search over Heterogeneous Enterprise Data DeepSeek-V3 Technical Report

Reference 5

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source=arxiv_source observed=2026-08-06T21:53:39.689101Z digest=sha256:9d79e178cec74e532908dcb1b534caff49ab9e97d4be9d473bad7697f69f46a0

Observation 654a47f2-761f-4c38-bea8-e960231bc4ed · outbound

This paper cites WorkArena: How Capable Are Web Agents at Solving Common Knowledge Work Tasks?.

Benchmarking Deep Search over Heterogeneous Enterprise Data WorkArena: How Capable Are Web Agents at Solving Common Knowledge Work Tasks?

Reference 6

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no resolver link, observed 2026-08-06T21:53:39.893106Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:53:39.893106Z digest=sha256:038498a5d2d8ad100afc776d645e55dd50fbb2a1372be5182aa152a2b0b19dab

Observation 41c9455e-c195-43a4-ade9-74c64fa2b145 · outbound

This paper cites From Local to Global: A Graph RAG Approach to Query-Focused Summarization.

Benchmarking Deep Search over Heterogeneous Enterprise Data From Local to Global: A Graph RAG Approach to Query-Focused Summarization

Reference 7

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no resolver link, observed 2026-08-06T21:53:40.033681Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:53:40.033681Z digest=sha256:090ae0c8882d8ab689e1118f850bc99859cf055546ce777bc64505080ac0c649

Observation 628d0f2d-83a0-4e4e-b375-86426d46c5ad · outbound

This paper cites an unresolved cited work.

Benchmarking Deep Search over Heterogeneous Enterprise Data Unresolved cited work

Reference 8

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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=arxiv_source observed=2026-08-06T21:53:40.201352Z digest=sha256:a851ffca688b38233d88fee0dc2343d0330ab0a8c69a558f9c557f9f47f7640a

Observation 42373093-d8c8-4cfe-914f-3e71d583c600 · outbound

This paper cites The Llama 3 Herd of Models.

Benchmarking Deep Search over Heterogeneous Enterprise Data The Llama 3 Herd of Models

Reference 9

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source=arxiv_source observed=2026-08-06T21:53:40.335213Z digest=sha256:05d70261bc54a2dd173ac799272740b8a2ae21f0f4307309d89b8d8ecd8be03e

Observation 0b6a09e9-a6c5-4ae6-88ae-21a503a48151 · outbound

This paper cites From RAG to Memory: Non-Parametric Continual Learning for Large Language Models.

Benchmarking Deep Search over Heterogeneous Enterprise Data From RAG to Memory: Non-Parametric Continual Learning for Large Language Models

Reference 10

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source=arxiv_source observed=2026-08-06T21:53:40.563012Z digest=sha256:f68bfba8199f6ae97395a5cba0f8e467851b4316fb8b93fe1bad8bbabd71d45f

Observation e8e61268-e8ac-4873-9d50-4d4d80fdf267 · outbound

This paper cites an unresolved cited work.

Benchmarking Deep Search over Heterogeneous Enterprise Data Unresolved cited work

Reference 11

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:53:40.743893Z digest=sha256:e6dd2bcc52f7567c9e731837a0ecf4c29a5ae627ad016c655cb11455f8b9c912

Observation fef58868-b117-4658-8b47-2f10dd7fab08 · outbound

This paper cites an unresolved cited work.

Benchmarking Deep Search over Heterogeneous Enterprise Data Unresolved cited work

Reference 12

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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=arxiv_source observed=2026-08-06T21:53:40.947349Z digest=sha256:ef3c13b1746955f08611a8b182e3e0c2ad7cb083f577c0b4d526b8ebc57d6787

Observation 1c87699f-104d-4b6a-891b-f1c16a2ba330 · outbound

This paper cites CRMArena-Pro: Holistic Assessment of LLM Agents Across Diverse Business Scenarios and Interactions.

Benchmarking Deep Search over Heterogeneous Enterprise Data CRMArena-Pro: Holistic Assessment of LLM Agents Across Diverse Business Scenarios and Interactions

Reference 13

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no resolver link, observed 2026-08-06T21:53:41.111110Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:53:41.111110Z digest=sha256:f93dac593aabdfdf9a3f825ccf5cff0c2cde329b78f39c65e203382987cd7ab4

Observation c7bfe7c1-d778-4fc7-89f3-d4c684c36053 · outbound

This paper cites an unresolved cited work.

Benchmarking Deep Search over Heterogeneous Enterprise Data Unresolved cited work

Reference 14

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no resolver link, observed 2026-08-06T21:53:41.339202Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:53:41.339202Z digest=sha256:248f7a8bdf897d2a4d374285e710e4b637d9a89c74066d331d3c1f52f52c6542

Observation 69b5ee23-b1f0-4c67-a295-f003277f0409 · outbound

This paper cites MHTS: Multi-Hop Tree Structure Framework for Generating Difficulty-Controllable QA Datasets for RAG Evaluation.

Benchmarking Deep Search over Heterogeneous Enterprise Data MHTS: Multi-Hop Tree Structure Framework for Generating Difficulty-Controllable QA Datasets for RAG Evaluation

Reference 15

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verified exact
local_arxiv, observed 2026-08-06T21:53:46.174173Z

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=arxiv_source observed=2026-08-06T21:53:41.519372Z digest=sha256:c6a9b837b9822a460833e2b38d0d34483f351064e13b75e5ef7a28a4cc3bb0f1

Observation f4c29185-8e8e-4d97-bc58-d4690beccd60 · outbound

This paper cites an unresolved cited work.

Benchmarking Deep Search over Heterogeneous Enterprise Data Unresolved cited work

Reference 16

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no resolver link, observed 2026-08-06T21:53:41.680247Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:53:41.680247Z digest=sha256:b1244e856ea066421b83627bb4bf3e43390334d4254d438c3725ed9fd4722754

Observation 970a6224-e425-4637-aa9e-807de87fb458 · outbound

This paper cites an unresolved cited work.

Benchmarking Deep Search over Heterogeneous Enterprise Data Unresolved cited work

Reference 17

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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=arxiv_source observed=2026-08-06T21:53:41.823566Z digest=sha256:b0680553888714dc455c647ba5a6b2023f0d1efa527dc6945b83ed9dfa23ae8d

Observation cb8843b3-e5a9-436c-8764-16d87af57880 · outbound

This paper cites an unresolved cited work.

Benchmarking Deep Search over Heterogeneous Enterprise Data Unresolved cited work

Reference 18

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raw_fallback, observed 2026-08-06T21:53:47.469409Z

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=arxiv_source observed=2026-08-06T21:53:41.997760Z digest=sha256:21543af5fb18d3234715b3f9615b318829749491f39f544557464f77b353ad3f

Observation ba5da972-7f06-4057-87f7-d5ab8c41362f · outbound

This paper cites GPT-4 Technical Report.

Benchmarking Deep Search over Heterogeneous Enterprise Data GPT-4 Technical Report

Reference 19

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no resolver link, observed 2026-08-06T21:53:42.179243Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:53:42.179243Z digest=sha256:a4d05fed5f186c2dc10cf070575d369ee1a57c267990715bde843f3f7e769211

Observation 0a9fefb1-49cd-44b2-bfa3-2938f05652e9 · outbound

This paper cites Optimizing and Evaluating Enterprise Retrieval-Augmented Generation (RAG): A Content Design Perspective.

Benchmarking Deep Search over Heterogeneous Enterprise Data Optimizing and Evaluating Enterprise Retrieval-Augmented Generation (RAG): A Content Design Perspective

Reference 20

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source=arxiv_source observed=2026-08-06T21:53:42.373497Z digest=sha256:ae247fff835ab47033debebae83aa6d65b5d7255e9eac1f943ead385841675fe

Observation 899eb8f3-69f6-4971-a60a-e32315b2910d · outbound

This paper cites Unanswerability Evaluation for Retrieval Augmented Generation.

Benchmarking Deep Search over Heterogeneous Enterprise Data Unanswerability Evaluation for Retrieval Augmented Generation

Reference 22

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local_arxiv, observed 2026-08-06T21:53:45.843440Z

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=arxiv_source observed=2026-08-06T21:53:42.725083Z digest=sha256:c6499a34a4f37a182ad256527d9dca972a0350ff88760fb69b87cb1e8809b406

Observation f2aa069d-9d94-482a-9f39-49c557c4a6bc · outbound

This paper cites an unresolved cited work.

Benchmarking Deep Search over Heterogeneous Enterprise Data Unresolved cited work

Reference 23

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no resolver link, observed 2026-08-06T21:53:42.892583Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:53:42.892583Z digest=sha256:371cf4c0ca888ef52e25016e61982dbe3ee77455c169f9f7add413be9325e883

Observation 0b235444-e28b-4654-87ca-15a4c98d6fbb · outbound

This paper cites RAPTOR: Recursive Abstractive Processing for Tree-Organized Retrieval.

Benchmarking Deep Search over Heterogeneous Enterprise Data RAPTOR: Recursive Abstractive Processing for Tree-Organized Retrieval

Reference 24

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no resolver link, observed 2026-08-06T21:53:43.069993Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:53:43.069993Z digest=sha256:b87b26cefe9c7be6fdcccdabcb02dba9e954c60bfcf09003fa05d425d16248df

Observation 3ba6a970-b3f6-43f6-b46c-e660008c2935 · outbound

This paper cites Assisting in Writing Wikipedia-like Articles From Scratch with Large Language Models.

Benchmarking Deep Search over Heterogeneous Enterprise Data Assisting in Writing Wikipedia-like Articles From Scratch with Large Language Models

Reference 25

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no resolver link, observed 2026-08-06T21:53:43.239033Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:53:43.239033Z digest=sha256:59f25840eb24a18fc905c454132355aee1dee19fa579858d19c1f405cc2c09d5

Observation 8c1c9a02-0242-4508-b36f-1b5b7a543002 · outbound

This paper cites WorkBench: a Benchmark Dataset for Agents in a Realistic Workplace Setting.

Benchmarking Deep Search over Heterogeneous Enterprise Data WorkBench: a Benchmark Dataset for Agents in a Realistic Workplace Setting

Reference 26

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no resolver link, observed 2026-08-06T21:53:43.371878Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:53:43.371878Z digest=sha256:18d24697287bdea09b63a416631e6e9f8889a9651bc69f13ac3d606eee6bdd8b

Observation b5bc14d6-ae80-42d8-bc63-231d24e3219b · outbound

This paper cites MultiHop-RAG: Benchmarking Retrieval-Augmented Generation for Multi-Hop Queries.

Benchmarking Deep Search over Heterogeneous Enterprise Data MultiHop-RAG: Benchmarking Retrieval-Augmented Generation for Multi-Hop Queries

Reference 27

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source=arxiv_source observed=2026-08-06T21:53:43.551113Z digest=sha256:3b31f5f9472d5ae412fa71be9f59741a50e5fe1816686e909218669cb64ba38d

Observation 5d202c70-0ac9-4b28-990e-145231fa0271 · outbound

This paper cites an unresolved cited work.

Benchmarking Deep Search over Heterogeneous Enterprise Data Unresolved cited work

Reference 28

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no resolver link, observed 2026-08-06T21:53:43.686728Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:53:43.686728Z digest=sha256:5d253c836f2c6c21b0d0988f0801955ea500e570983ed9c84ab6d35d1342fdeb

Observation 692caa3a-dec7-4ace-9e63-964aaea10dd8 · outbound

This paper cites TheAgentCompany: Benchmarking LLM Agents on Consequential Real World Tasks.

Benchmarking Deep Search over Heterogeneous Enterprise Data TheAgentCompany: Benchmarking LLM Agents on Consequential Real World Tasks

Reference 29

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no resolver link, observed 2026-08-06T21:53:43.904609Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:53:43.904609Z digest=sha256:1d90985b494fabba9fe77d85b1ea931270fc1c35681878ad11fa0b46c83a9dc5

Observation b9cedcb7-f91b-486c-8a5a-604955c49c1e · outbound

This paper cites an unresolved cited work.

Benchmarking Deep Search over Heterogeneous Enterprise Data Unresolved cited work

Reference 30

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:53:44.078450Z digest=sha256:9fc8cb231c1c631ace0e789ee0c68ddc89917a1092fb6e64e3fcdd2cc0154ad4

Observation 7423efba-e093-42ef-aef6-cdc9778e1e45 · outbound

This paper cites $\tau$-bench: A Benchmark for Tool-Agent-User Interaction in Real-World Domains.

Benchmarking Deep Search over Heterogeneous Enterprise Data $\tau$-bench: A Benchmark for Tool-Agent-User Interaction in Real-World Domains

Reference 31

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no resolver link, observed 2026-08-06T21:53:44.263564Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:53:44.263564Z digest=sha256:d2d9725d1619baeeae86ce8d712023efca2b84c9f71fe0493cf3a5f0dea0136a

Observation 050fce0b-1bed-469c-93ae-773208d6b8e3 · outbound

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

Benchmarking Deep Search over Heterogeneous Enterprise Data ReAct: Synergizing Reasoning and Acting in Language Models

Reference 32

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no resolver link, observed 2026-08-06T21:53:44.420003Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:53:44.420003Z digest=sha256:155100ef90ee34bb705e734f6059ccd4949d54f7ba872e6cb656a5f46493ffba

Observation 17e37f60-0403-4ec2-b6db-b0112929aa29 · outbound

This paper cites an unresolved cited work.

Benchmarking Deep Search over Heterogeneous Enterprise Data Unresolved cited work

Reference 33

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verified exact
doi, observed 2026-08-06T21:53:45.339195Z

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=arxiv_source observed=2026-08-06T21:53:44.565708Z digest=sha256:005fd985d9cec8656369637d65705f5f5e70f5d405e3e60720ecb785d6bd396d

Observation e531376e-a911-48e7-b63d-9e80e77134e3 · outbound

This paper cites online" 'onlinestring :=.

Benchmarking Deep Search over Heterogeneous Enterprise Data online" 'onlinestring :=

Reference 34

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:53:44.708244Z digest=sha256:d52042c34f8cfa3dc8a067b13cf461d92818238018da2d4eb019e5688577b85d

Observation 8e4a1112-91c2-4885-a4bf-4585e5d22205 · outbound

This paper cites write newline.

Benchmarking Deep Search over Heterogeneous Enterprise Data write newline

Reference 35

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no resolver link, observed 2026-08-06T21:53:44.926345Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:53:44.926345Z digest=sha256:dc3998571d290713ef6f78fe74ed9c4be9e7c1d6fce215ebf0e1bb4ec1b93d4a

Pith citing papers

Observation 9cdfc913-c152-4621-9cd7-ffd49e7a17a2 · inbound

SFR-DeepResearch: Towards Effective Reinforcement Learning for Autonomously Reasoning Single Agents cites this paper.

SFR-DeepResearch: Towards Effective Reinforcement Learning for Autonomously Reasoning Single Agents Benchmarking Deep Search over Heterogeneous Enterprise Data

Reference 6

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no resolver link, observed 2026-08-04T23:55:37.731166Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T23:55:37.731166Z digest=sha256:1afcaa17a01e7a7c654dc001fce6e25ff3f7ae37458dd2adb0068968d6adfa9e

Observation 25e73aa1-7fd2-45fa-babb-26164a41ce67 · inbound

Hypergraph Enterprise Agentic Reasoner over Heterogeneous Business Systems cites this paper.

Hypergraph Enterprise Agentic Reasoner over Heterogeneous Business Systems Benchmarking Deep Search over Heterogeneous Enterprise Data

Reference 14

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verified exact
arxiv_id, observed 2026-05-15T02:39:41.806995Z

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=2026-05-15T02:34:08.115027Z digest=sha256:27b64e50545002a95c12fa5726ce809755806d0744e3b55f367a65606a304c0f

Observation 14890bf2-c5e0-47c6-99db-0a1b42bf04b7 · inbound

X-SYNTH: Beyond Retrieval -- Enterprise Context Synthesis from Observed Digital Human Attention cites this paper.

X-SYNTH: Beyond Retrieval -- Enterprise Context Synthesis from Observed Digital Human Attention Benchmarking Deep Search over Heterogeneous Enterprise Data

Reference 21

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arxiv_id, observed 2026-05-19T16:02:38.904047Z

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=2026-05-19T15:58:47.232098Z digest=sha256:6d707dae3416c53413726cbd4b25260882bd864afaeee59ae5cfd30ee8b87b65

Observation a71da0f1-bcc4-485f-8c6e-6c3dce9eb516 · inbound

X-SYNTH: Beyond Retrieval -- Enterprise Context Synthesis from Observed Digital Human Attention cites this paper.

X-SYNTH: Beyond Retrieval -- Enterprise Context Synthesis from Observed Digital Human Attention Benchmarking Deep Search over Heterogeneous Enterprise Data

Reference 21

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arxiv_id, observed 2026-05-22T09:41:21.994181Z

Source-reported events for the cited work

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source=pdf_text observed=2026-05-22T09:39:44.241437Z digest=sha256:36f8e3368129b9ff40103671f0f75c0f29ae5b60174526c37b849779d632bfd0

Observation 2e2579c7-758e-4e43-96c5-50ca9ab3faf5 · inbound

WorkSurface-Bench: Benchmarking Enterprise Agents on Multi-Surface Knowledge Routing cites this paper.

WorkSurface-Bench: Benchmarking Enterprise Agents on Multi-Surface Knowledge Routing Benchmarking Deep Search over Heterogeneous Enterprise Data

Reference 4

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no resolver link, observed 2026-08-01T01:35:09.630285Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T01:35:09.630285Z digest=sha256:e44020982b4f1062620c4e89238ad95b218483582b6d557eee55de4019d04ca6