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Paper Citation Record · LEDGER

Interactive Task Alignment as a POMDP

As of 23 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 2026-08-23T06:30:58.430688+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=sha256:0d92fce86b98f7e7f156942b2c1d6ce2a0aa14306fc1e517323c0c88eb70e9da

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=sha256:75949c6baceddf37ad59828eb0e6e46bad5412f4ebeb242944b068252f3c20eb

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=sha256:405c6d61e9c39052ccfc75f4d4c6a774bbafd01faa3fda370912ef9213d3f8aa

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=sha256:6f087ffef3622a5fab56a0e23e41dd3eb123704139f960f7e5b589de8f77da54

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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T21:04:40.585472Z digest=sha256:0aea5ac5c3753a14428849d4d001ed210b6c5abbabd52bac3f67c2b3d972da3f

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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no resolver link, observed 2026-08-01T21:04:40.721413Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T21:04:40.721413Z digest=sha256:94d1a194f9f53747a2dfab4d6ad5b20f9c638229c86d5373e7cd27d703960791

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

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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:ff8c06395fe8158398c7f5961b20a2f9cb2cf2ebd7284fe5176cd93cc7290e20

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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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T21:04:41.071741Z digest=sha256:2350461e2847e6451b76f3bed1bd2b7406c5d3641ff6a24958a66f283ef1864a

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:ff4e531d88da4b111ffdb6aeb900c5c596c8dc5ffcc215ca3454787ab6e02082

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:e6813273ca428197fa93729607506980487d224e087b2edb9c871a95b993c7e8

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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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T21:04:41.594837Z digest=sha256:d434ef00d41094fc2972fa63ea1969b8b979b5605f017e8a86fc8e38197ff8bc

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

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T21:04:41.711576Z digest=sha256:632b08e1ecdabadb9b44277993f7ed721c4b23890b4f1dd6f4a626fef7c4fa59

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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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T21:04:41.835327Z digest=sha256:861f7b6deef801cccf8228511ce211b8fb2e85e78a46ed84059adfb8fdcf2744

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=sha256:7563a433cb93091529970005b9dc41df2fade6cd0265a5ee90d65e0c18685982

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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source=arxiv_source observed=2026-08-01T21:04:42.138369Z digest=sha256:ccc0080bd8b15ed4b7694f0cf1477e2ae3302e91a7145b73cf9efc1944ce5fc9

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=sha256:34402430a81d663eaa1d943cc53cf41d630e2698b35b75117d8c9a2aa991d3c8

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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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T21:04:42.348283Z digest=sha256:865f983e552e4aec0084247233ce65e0f34d5a297d13993610ec115d7fb714cb

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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T21:04:42.470253Z digest=sha256:deb078b4a4362eeabd639bcc2f556993570ae92aae56e95e6efa9450b22b5c0b

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=sha256:96dbf5a7b7d8e1764fa689e0987784f5730cabd34b340af39059425dbabd3419

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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no resolver link, observed 2026-08-01T21:04:42.772581Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T21:04:42.772581Z digest=sha256:23fa06f82cdb9462fdee791eba5de2c602f1da574953fcf397bf14f098bba237

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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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T21:04:42.889953Z digest=sha256:62e0fbeeb727cf5e71c64a244f74ad868eb465cc4525bf08890bf0524d73cf6a

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:b1b9c995a8570d26e11052c03fc5e646cfb7ee62f0e71594f00c9be9dbb6ec20

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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source=arxiv_source observed=2026-08-01T21:04:43.137464Z digest=sha256:ecf2749e0d7222a4a936d0157ced509b91e8937e6f54ff198c1f361719a5e73d

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=sha256:6e4d3b15b903eda2353949c9c629d7cc05ea2f8d39e6ac2851d15c7443c863c1

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:d4ff9c444eded06e8342f59d968a18c2747bbe0732c57475ca9c947635dfa2f9

Pith citing papers

No inbound Pith citation observations are available.