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Paper Citation Record · LEDGER

WorkSurface-Bench: Benchmarking Enterprise Agents on Multi-Surface Knowledge Routing

As of 9 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 0 inbound Pith citation observations for arXiv:2607.25765.

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

pith.paper-citation-record.v1
2607.25765 v1

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T01:35:09.720250Z

measured 25 of 25 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

25 of 25 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 97c3c300-2a7b-4155-89fb-9a6cb60c60bb · outbound

This paper cites Hybridqa: A dataset of multi-hop question answering over tabular and textual data.

WorkSurface-Bench: Benchmarking Enterprise Agents on Multi-Surface Knowledge Routing Hybridqa: A dataset of multi-hop question answering over tabular and textual data

Reference 1

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source=pdf_text observed=2026-08-01T01:35:09.614992Z digest=sha256:d672ba22fb167828f835ede2a605c9eddc9f84ea1e497617467d26de6383ae28

Observation 70c16903-b8fd-4ab8-b124-f91dc08333ec · outbound

This paper cites Open question answering over tables and text.

WorkSurface-Bench: Benchmarking Enterprise Agents on Multi-Surface Knowledge Routing Open question answering over tables and text

Reference 2

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source=pdf_text observed=2026-08-01T01:35:09.620361Z digest=sha256:8f5703ba62ccd26897fefc96d87f5448006333286d8019f57d4e4ae1a6367876

Observation ee8046a5-274a-4651-92ce-9272532307be · outbound

This paper cites T-Eval: Evaluating the Tool Utilization Capability of Large Language Models Step by Step.

WorkSurface-Bench: Benchmarking Enterprise Agents on Multi-Surface Knowledge Routing T-Eval: Evaluating the Tool Utilization Capability of Large Language Models Step by Step

Reference 3

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source=pdf_text observed=2026-08-01T01:35:09.624996Z digest=sha256:a92d913dce099440d8b6a11d206a64b5f697835de0517e1c6ce1dc625a604daa

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

This paper cites Benchmarking Deep Search over Heterogeneous Enterprise Data.

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

Reference 4

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source=pdf_text observed=2026-08-01T01:35:09.630285Z digest=sha256:5111bc99525b5aa13eb7155ff8d82019477cc56a46407d9b099e1c280e80c0d5

Observation 249c97c0-f652-4089-9d24-fe6194ac8921 · outbound

This paper cites DeepSeek V4 Preview Release.

WorkSurface-Bench: Benchmarking Enterprise Agents on Multi-Surface Knowledge Routing DeepSeek V4 Preview Release

Reference 5

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source=pdf_text observed=2026-08-01T01:35:09.635073Z digest=sha256:1c67b5e974d0edb1d2be442f8ef3ff9d721aa7939134e2c9d91ab857527ccb9c

Observation d47ac1dc-0e9c-4673-9b19-a1dea9104a1d · outbound

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

WorkSurface-Bench: Benchmarking Enterprise Agents on Multi-Surface Knowledge Routing WorkArena: How Capable Are Web Agents at Solving Common Knowledge Work Tasks?

Reference 6

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source=pdf_text observed=2026-08-01T01:35:09.639378Z digest=sha256:0d92800c483bed3f9b568b00a95e8f5440f207eaed33c518412ca5b59bf38bc9

Observation 23be38f8-5a13-4e70-a8ed-f26f92066377 · outbound

This paper cites RAGBench: Explainable Benchmark for Retrieval-Augmented Generation Systems.

WorkSurface-Bench: Benchmarking Enterprise Agents on Multi-Surface Knowledge Routing RAGBench: Explainable Benchmark for Retrieval-Augmented Generation Systems

Reference 7

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source=pdf_text observed=2026-08-01T01:35:09.644671Z digest=sha256:85c3cfcc2af16e7504e1407d5dfdd447825824ca32dffba4b12601703fcdd751

Observation c37a0e75-f368-4552-bee4-22a2d8bfda77 · outbound

This paper cites Datasheets for datasets.Communications of the ACM, 64(12):86–92, 2021.

WorkSurface-Bench: Benchmarking Enterprise Agents on Multi-Surface Knowledge Routing Datasheets for datasets.Communications of the ACM, 64(12):86–92, 2021

Reference 8

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source=pdf_text observed=2026-08-01T01:35:09.649427Z digest=sha256:8a71bbff952edd8eb918b27816c957c0e8fe12f2d5ba6353a6dcef6eb76cb2dc

Observation 70bc1e83-f463-49e4-9499-62e0d886ccd4 · outbound

This paper cites Gemini 3.1 Pro Preview.

WorkSurface-Bench: Benchmarking Enterprise Agents on Multi-Surface Knowledge Routing Gemini 3.1 Pro Preview

Reference 9

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source=pdf_text observed=2026-08-01T01:35:09.653588Z digest=sha256:ee014f9627dfc2a1402f251ebacff244853cc84d22b1c58a965398acf6fe554c

Observation cf78261e-76a9-4938-8b66-59b2e68a263f · outbound

This paper cites MetaTool Benchmark for Large Language Models: Deciding Whether to Use Tools and Which to Use.

WorkSurface-Bench: Benchmarking Enterprise Agents on Multi-Surface Knowledge Routing MetaTool Benchmark for Large Language Models: Deciding Whether to Use Tools and Which to Use

Reference 10

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source=pdf_text observed=2026-08-01T01:35:09.657698Z digest=sha256:35fb5841ae7eb1ce90b2519b6e6cb22a2ec9fe556ab925850a275b5aaeec07a9

Observation d573cf1f-e909-4551-a683-deed9e74dc31 · outbound

This paper cites T2-ragbench: Text-and-table benchmark for evaluating retrieval-augmented generation.

WorkSurface-Bench: Benchmarking Enterprise Agents on Multi-Surface Knowledge Routing T2-ragbench: Text-and-table benchmark for evaluating retrieval-augmented generation

Reference 11

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source=pdf_text observed=2026-08-01T01:35:09.662068Z digest=sha256:6c80b031e7469868e9c33437461cf369bc6d35fc1bf2203a48bcd0e45d3491d3

Observation 13e9d000-48aa-4d85-9293-652f686b6874 · outbound

This paper cites Can llm already serve as a database interface? a big bench for large-scale database grounded text-to-sqls.

WorkSurface-Bench: Benchmarking Enterprise Agents on Multi-Surface Knowledge Routing Can llm already serve as a database interface? a big bench for large-scale database grounded text-to-sqls

Reference 12

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source=pdf_text observed=2026-08-01T01:35:09.666217Z digest=sha256:d8bedbdf52cd6aa6aab04910395452a577636c8a666f02bb4f8fd4d12da31d67

Observation f53554aa-2c8a-4243-a619-d863f7379586 · outbound

This paper cites API-Bank: A Comprehensive Benchmark for Tool-Augmented LLMs.

WorkSurface-Bench: Benchmarking Enterprise Agents on Multi-Surface Knowledge Routing API-Bank: A Comprehensive Benchmark for Tool-Augmented LLMs

Reference 13

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source=pdf_text observed=2026-08-01T01:35:09.670186Z digest=sha256:515519b75e6d068bb0db5e0c88f5bcbb3cb53f576cce543cbb3cfa7f44403bad

Observation b53841d8-7de1-4d38-8c00-2d2f42968e7d · outbound

This paper cites AgentBoard: An Analytical Evaluation Board of Multi-turn LLM Agents.

WorkSurface-Bench: Benchmarking Enterprise Agents on Multi-Surface Knowledge Routing AgentBoard: An Analytical Evaluation Board of Multi-turn LLM Agents

Reference 14

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source=pdf_text observed=2026-08-01T01:35:09.674463Z digest=sha256:82d4042459c807c88ab66a8eee9d4f71b0e09ec7d02f6677780f1715020ce3eb

Observation 168d70a1-82e9-49e3-b54a-fedeaf692a12 · outbound

This paper cites GPT-4o mini: Advancing cost-efficient intelligence.

WorkSurface-Bench: Benchmarking Enterprise Agents on Multi-Surface Knowledge Routing GPT-4o mini: Advancing cost-efficient intelligence

Reference 15

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source=pdf_text observed=2026-08-01T01:35:09.678676Z digest=sha256:02d6e6f8e62d863aecb6d7c7b786a331efbbbda49354e1ea69a622943042f78b

Observation 050dc6bf-3376-48a6-9e59-72c21fa67835 · outbound

This paper cites GPT-5.5 System Card.

WorkSurface-Bench: Benchmarking Enterprise Agents on Multi-Surface Knowledge Routing GPT-5.5 System Card

Reference 16

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source=pdf_text observed=2026-08-01T01:35:09.682692Z digest=sha256:f8f993535d97e40cf91e13d7a5e1a7e2ebd0876859800d63095ffc1d81d49a5c

Observation 937ca211-6651-424c-9c9f-62b5e0a5761d · outbound

This paper cites ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs.

WorkSurface-Bench: Benchmarking Enterprise Agents on Multi-Surface Knowledge Routing ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs

Reference 17

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source=pdf_text observed=2026-08-01T01:35:09.686595Z digest=sha256:3e9f5b7b3d726340d17c6e154f82d5e184f16684eab1979a4b8a8372461cf408

Observation 69b6dc52-38aa-42c8-b03b-6318710af74b · outbound

This paper cites Multimodalqa: Complex question answering over text, tables and images.

WorkSurface-Bench: Benchmarking Enterprise Agents on Multi-Surface Knowledge Routing Multimodalqa: Complex question answering over text, tables and images

Reference 18

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source=pdf_text observed=2026-08-01T01:35:09.690895Z digest=sha256:9a45eae1fc1284095a8b09dadcd51b0535708a243dc82be1df261510783dac8a

Observation 9c56d0a6-22b9-4bda-a314-acb627dc4b35 · outbound

This paper cites Workspace-bench 1.0: Benchmarking ai agents on workspace tasks with large-scale file dependencies, 2026.

WorkSurface-Bench: Benchmarking Enterprise Agents on Multi-Surface Knowledge Routing Workspace-bench 1.0: Benchmarking ai agents on workspace tasks with large-scale file dependencies, 2026

Reference 19

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source=pdf_text observed=2026-08-01T01:35:09.695237Z digest=sha256:72d778906a7e9f49d0bab49f964a6ce4e2fd1ec9e359614fd57b9934f2af629c

Observation d44a1db0-31dc-4bd9-b67d-6af4d440d3ac · outbound

This paper cites AppWorld: A Controllable World of Apps and People for Benchmarking Interactive Coding Agents.

WorkSurface-Bench: Benchmarking Enterprise Agents on Multi-Surface Knowledge Routing AppWorld: A Controllable World of Apps and People for Benchmarking Interactive Coding Agents

Reference 20

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source=pdf_text observed=2026-08-01T01:35:09.699367Z digest=sha256:0653b69174fea5f934850f7dfcc2d169d604c38048a62402a7f9910689da99b4

Observation 8d5f06d9-8e64-4a82-b815-d4c5e75ca588 · outbound

This paper cites STaRK: Benchmarking LLM Retrieval on Textual and Relational Knowledge Bases.

WorkSurface-Bench: Benchmarking Enterprise Agents on Multi-Surface Knowledge Routing STaRK: Benchmarking LLM Retrieval on Textual and Relational Knowledge Bases

Reference 21

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source=pdf_text observed=2026-08-01T01:35:09.703423Z digest=sha256:a515d0a690c62f719aa797dbaa1ee52a58a52aa6efb846ab0b3d6469e0b021df

Observation 1c5d1a62-e920-485c-8767-bb8fffed445a · outbound

This paper cites mmRAG: A Modular Benchmark for Retrieval-Augmented Generation over Text, Tables, and Knowledge Graphs.

WorkSurface-Bench: Benchmarking Enterprise Agents on Multi-Surface Knowledge Routing mmRAG: A Modular Benchmark for Retrieval-Augmented Generation over Text, Tables, and Knowledge Graphs

Reference 22

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source=pdf_text observed=2026-08-01T01:35:09.707565Z digest=sha256:f616a352fd6edcfdc1df399ab377095f4d3b3cd9e7ff5c713fd3f4d2c007d88b

Observation 03f12314-471f-4369-98d8-f8f3e7a87277 · outbound

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

WorkSurface-Bench: Benchmarking Enterprise Agents on Multi-Surface Knowledge Routing TheAgentCompany: Benchmarking LLM Agents on Consequential Real World Tasks

Reference 23

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source=pdf_text observed=2026-08-01T01:35:09.711939Z digest=sha256:1be84071229ebaefb51cf29bf41f8838fec401d0480bfac0c2a2c6c5bb7d9bda

Observation 2c1f1068-9342-4d9e-9f30-a8dc84c7acc4 · outbound

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

WorkSurface-Bench: Benchmarking Enterprise Agents on Multi-Surface Knowledge Routing $\tau$-bench: A Benchmark for Tool-Agent-User Interaction in Real-World Domains

Reference 24

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source=pdf_text observed=2026-08-01T01:35:09.716221Z digest=sha256:cdf4ba396892bff72f6d3bed71a8f27ce207f0a9879859b4570947b53d34f18b

Observation c1bce01c-2193-483b-9abc-13f622f9cd71 · outbound

This paper cites For workspace task 107: what is the total sales amount across the Asia Pacific re- gion?.

WorkSurface-Bench: Benchmarking Enterprise Agents on Multi-Surface Knowledge Routing For workspace task 107: what is the total sales amount across the Asia Pacific re- gion?

Reference 25

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source=pdf_text observed=2026-08-01T01:35:09.720250Z digest=sha256:26be9a6f96c6a26b1a2d7074f5d9957f193169cada1338ba3306b4687e443367

Pith citing papers

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