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Paper Citation Record · LEDGER

Interactive Task Alignment as a POMDP

As of 13 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 0 inbound Pith citation observations for arXiv:2607.16412.

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

pith.paper-citation-record.v1
2607.16412 v1

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T21:04:43.450565Z

measured 25 of 25 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+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

  • verified exact0
  • verified fuzzy0
  • unresolved25
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation fd0abe64-e5e8-4681-bd75-fb3cb426ff0d · outbound

This paper cites STaR-GATE: Teaching Language Models to Ask Clarifying Questions.

Interactive Task Alignment as a POMDP STaR-GATE: Teaching Language Models to Ask Clarifying Questions

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T21:04:39.930639Z digest=sha256:8515ff17cfd695aa365c69ba38e33015b9860f210b97a8f9c0ebf386f30d83df

Observation bcb89a8c-f87e-4300-a280-10d76694144c · outbound

This paper cites Learning to clarify: Multi-turn conversations with action-based contrastive self-training.

Interactive Task Alignment as a POMDP Learning to clarify: Multi-turn conversations with action-based contrastive self-training

Reference 2

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T21:04:40.049417Z digest=sha256:cfead3fb0ba4220a768e29ae169045027481758dfaac698b472caa02494f8731

Observation da643ae5-0a4c-4a6f-9391-3b10b228bfcc · outbound

This paper cites Clark and Susan E.

Interactive Task Alignment as a POMDP Clark and Susan E

Reference 3

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T21:04:40.228803Z digest=sha256:53439987f1911b1ceeadbbe73cafb980ef28eb287b9d00f326221008e1235da8

Observation b2a2e3fb-131e-40a0-ba32-7f19f4c31df8 · outbound

This paper cites Bayesian Preference Elicitation with Language Models.

Interactive Task Alignment as a POMDP Bayesian Preference Elicitation with Language Models

Reference 4

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T21:04:40.393890Z digest=sha256:e3a77515f608a330cad27151ce6bbce2d9154a8297b33ae7134e5988e1fd726b

Observation 1f130e03-7e73-4a6a-a894-929259c012a4 · outbound

This paper cites Teaching language models to gather information proactively.

Interactive Task Alignment as a POMDP Teaching language models to gather information proactively

Reference 5

Resolution
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no resolver link, observed 2026-08-01T21:04:40.585472Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T21:04:40.585472Z digest=sha256:dc41ba74ad292d7ae4a56b48e4c0472610b9c032744db3fd59761d6aefdd5761

Observation 66eb771e-676f-4306-b51e-88cd0faaf193 · outbound

This paper cites SWE-bench: Can Language Models Resolve Real-World GitHub Issues?.

Interactive Task Alignment as a POMDP SWE-bench: Can Language Models Resolve Real-World GitHub Issues?

Reference 6

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T21:04:40.721413Z digest=sha256:d995a7d7148b30b1134885f30f3433f5f7a3a68f88504ad9473f70f5b125a177

Observation b23ee6b3-f080-4188-b974-c176e85d5747 · outbound

This paper cites Shopping MMLU: A Massive Multi-Task Online Shopping Benchmark for Large Language Models.

Interactive Task Alignment as a POMDP Shopping MMLU: A Massive Multi-Task Online Shopping Benchmark for Large Language Models

Reference 7

Resolution
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no resolver link, observed 2026-08-01T21:04:40.927883Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T21:04:40.927883Z digest=sha256:52d9700ecab72424945324f4a32287a2fe3b87e21e74f8e5115066e542611f85

Observation 676e86b9-7ce0-4ef2-8c5a-2ec2da2f2314 · outbound

This paper cites DiscoverLLM: From Executing Intents to Discovering Them.

Interactive Task Alignment as a POMDP DiscoverLLM: From Executing Intents to Discovering Them

Reference 8

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T21:04:41.071741Z digest=sha256:125b0d0e31d9afbff2b78ff4099200075f37a02490a778c565de9bf48d21edff

Observation 8d7fc0d5-2c64-4cf0-a517-bd71ab9412e7 · outbound

This paper cites Li, Been Kim, and Zi Wang.

Interactive Task Alignment as a POMDP Li, Been Kim, and Zi Wang

Reference 9

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T21:04:41.272117Z digest=sha256:08e4a0f34f217b66606b3881effac321faedd8f1a9fdfe226280eade8eb19061

Observation 04c52f29-a8fd-4793-b3f7-81206694b631 · outbound

This paper cites PrefPalette: Personalized Preference Modeling with Latent Attributes.

Interactive Task Alignment as a POMDP PrefPalette: Personalized Preference Modeling with Latent Attributes

Reference 10

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T21:04:41.422395Z digest=sha256:c1be098a09a3a859ff7e21e3ade9237d8976ff7849137725926a1ce3e36eedaf

Observation 287f26e7-864c-442c-9261-58cda4897824 · outbound

This paper cites Clarifymt-bench: Benchmarking and improving multi-turn clarification for conversational large language models, 2025.

Interactive Task Alignment as a POMDP Clarifymt-bench: Benchmarking and improving multi-turn clarification for conversational large language models, 2025

Reference 11

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T21:04:41.594837Z digest=sha256:033b9fa8f0883fa60b0c4d26b0d7ba1dd341dfe79b122035d3100d1f5d41a90c

Observation df343f97-5744-400d-965b-a4792ae1e234 · outbound

This paper cites Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces.

Interactive Task Alignment as a POMDP Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces

Reference 12

Resolution
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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T21:04:41.711576Z digest=sha256:3975b7fcea8119142a03fe25562d66a15d4581c27d7257dad4390c4b3084f8f2

Observation 6b741c6b-4cb9-4c73-9df3-4f80c39caa5f · outbound

This paper cites Asking clarifying questions for preference elicitation with large language models, 2025.

Interactive Task Alignment as a POMDP Asking clarifying questions for preference elicitation with large language models, 2025

Reference 13

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no resolver link, observed 2026-08-01T21:04:41.835327Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T21:04:41.835327Z digest=sha256:3da98ffe1731dcb225ac3dc1e7220af926b848b71c5ef570bda04c56b4236a65

Observation d321a8f4-bf75-42a6-bea5-9f53e6170a9d · outbound

This paper cites GDPval: Evaluating AI Model Performance on Real-World Economically Valuable Tasks.

Interactive Task Alignment as a POMDP GDPval: Evaluating AI Model Performance on Real-World Economically Valuable Tasks

Reference 14

Resolution
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no resolver link, observed 2026-08-01T21:04:41.955454Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T21:04:41.955454Z digest=sha256:7b4e4890771bcca35a662949f8b943c55466bf53aae2a5176cd4310e31b0db67

Observation e2f2f790-482f-4e0c-a137-01a2713b2c41 · outbound

This paper cites Tell me more! towards implicit user intention understanding of language model driven agents.

Interactive Task Alignment as a POMDP Tell me more! towards implicit user intention understanding of language model driven agents

Reference 15

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T21:04:42.138369Z digest=sha256:7bf80699c785bae83573216be114b2a70fb0b857a1fe2adf2ff6fce19d7bf448

Observation 63646e63-58b1-4a51-8905-57c45cf2ca4d · outbound

This paper cites Ambig-swe: Interactive agents to overcome underspecificity in software engineering, 2026.

Interactive Task Alignment as a POMDP Ambig-swe: Interactive agents to overcome underspecificity in software engineering, 2026

Reference 16

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T21:04:42.237599Z digest=sha256:98082bd92b534ed5d041095e75245fc925eb121b934de7c44b8dd941e7d1bd2d

Observation c31ec5f3-eb14-4508-9995-269e8aed0c6f · outbound

This paper cites RAGEN: Understanding Self-Evolution in LLM Agents via Multi-Turn Reinforcement Learning.

Interactive Task Alignment as a POMDP RAGEN: Understanding Self-Evolution in LLM Agents via Multi-Turn Reinforcement Learning

Reference 17

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no resolver link, observed 2026-08-01T21:04:42.348283Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T21:04:42.348283Z digest=sha256:aef40df11c5cedca45f6e7c3eccd802a7ece876e51d6fdf052d8c22317738c64

Observation 4078935f-6ffb-4ca8-b9d4-349616496b8f · outbound

This paper cites Position: Humans are missing from ai coding agent research, 2025 b.

Interactive Task Alignment as a POMDP Position: Humans are missing from ai coding agent research, 2025 b

Reference 18

Resolution
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no resolver link, observed 2026-08-01T21:04:42.470253Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T21:04:42.470253Z digest=sha256:7742bf83dc5bf0e6b90425fe0fb76fb1852b0acafd12eca3f49210f402518394

Observation 39f5dc40-a92c-4153-8e70-ba5d1b8d2955 · outbound

This paper cites BrowseComp: A Simple Yet Challenging Benchmark for Browsing Agents.

Interactive Task Alignment as a POMDP BrowseComp: A Simple Yet Challenging Benchmark for Browsing Agents

Reference 19

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no resolver link, observed 2026-08-01T21:04:42.629972Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T21:04:42.629972Z digest=sha256:0ec3537065448f5fe9b465c5af4988867f0fc88a89b10e4dfc429148490ce3e2

Observation 9f7977a0-6d2e-478c-b56d-f799f1e3eb08 · outbound

This paper cites CollabLLM: From Passive Responders to Active Collaborators.

Interactive Task Alignment as a POMDP CollabLLM: From Passive Responders to Active Collaborators

Reference 20

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T21:04:42.772581Z digest=sha256:b4d46ee6da675b11f9ef76eb622f02a9eddb4680232b88cbb1f20cae426e3e3c

Observation 1d28acc1-5856-433a-ace0-009f5171147a · outbound

This paper cites Aligning LLMs with Individual Preferences via Interaction.

Interactive Task Alignment as a POMDP Aligning LLMs with Individual Preferences via Interaction

Reference 21

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no resolver link, observed 2026-08-01T21:04:42.889953Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T21:04:42.889953Z digest=sha256:54ff86776dce03cbc8fdbd19c98c6ceb3116af2b0b8ee2c5afdf5aed836e8673

Observation 0f0c53fd-876b-4b31-9d5c-559489edbf5f · outbound

This paper cites WebShop: Towards Scalable Real-World Web Interaction with Grounded Language Agents.

Interactive Task Alignment as a POMDP WebShop: Towards Scalable Real-World Web Interaction with Grounded Language Agents

Reference 22

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T21:04:43.009747Z digest=sha256:b391eab57657ea2dd1a9e6b679d1edaee8610417c5cdf2cb60c4178cbb3d26e5

Observation 1e50d021-a4c7-490a-9feb-3c25d658de7c · outbound

This paper cites Modeling Future Conversation Turns to Teach LLMs to Ask Clarifying Questions.

Interactive Task Alignment as a POMDP Modeling Future Conversation Turns to Teach LLMs to Ask Clarifying Questions

Reference 23

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no resolver link, observed 2026-08-01T21:04:43.137464Z

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source=arxiv_source observed=2026-08-01T21:04:43.137464Z digest=sha256:4fe51f254e2ea28e616c76934cbc382c2e335e196469a260bab82f07e09ac68e

Observation 7ff770c2-ca76-46d0-b438-d70203f62e7c · outbound

This paper cites Clarify when necessary: Resolving ambiguity through interaction with lms.

Interactive Task Alignment as a POMDP Clarify when necessary: Resolving ambiguity through interaction with lms

Reference 24

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T21:04:43.303549Z digest=sha256:9578b4f448777680d0026c30ed9ca9849d8c9b096a99b33a34e739635df2b833

Observation 24566c9c-ae0b-4fb0-8e9b-0b906f430cad · outbound

This paper cites Do LLMs Recognize Your Preferences? Evaluating Personalized Preference Following in LLMs.

Interactive Task Alignment as a POMDP Do LLMs Recognize Your Preferences? Evaluating Personalized Preference Following in LLMs

Reference 25

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T21:04:43.450565Z digest=sha256:d8728a150a91b44e436df191a4b19ddf881448d38848837f54fcb04190d08c59

Pith citing papers

No inbound Pith citation observations are available.