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Paper Citation Record · LEDGER

Do Large Language Models Need Intent? Revisiting Response Generation Strategies for Service Assistant

As of 13 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 1 inbound Pith citation observation for arXiv:2509.05006.

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

pith.paper-citation-record.v1
2509.05006 v1

Coverage vector

measured 21 of 21 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T05:44:49.725882Z

measured 22 of 22 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T19:41:10.713507Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T19:41:14.942028Z

Reference resolution

21 of 21 outbound references displayed

  • verified exact2
  • verified fuzzy4
  • unresolved14
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e6eb4f0b-327d-46c1-b292-f4f139962357 · outbound

This paper cites Self-Improving Customer Review Response Generation Based on LLMs.

Do Large Language Models Need Intent? Revisiting Response Generation Strategies for Service Assistant Self-Improving Customer Review Response Generation Based on LLMs

Reference 1

Resolution
verified exact
local_arxiv, observed 2026-08-05T05:44:50.409060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-05T05:44:47.082674Z digest=sha256:e381859c2ce639c5b58650e4d9296cab66306b0ea5e5a2a26cf09512fff5f4f1

Observation 69731ad8-fc4f-4b57-9e5b-a06f7a06ee8e · outbound

This paper cites an unresolved cited work.

Do Large Language Models Need Intent? Revisiting Response Generation Strategies for Service Assistant Unresolved cited work

Reference 2

Resolution
unresolved
raw_fallback, observed 2026-08-05T05:44:52.505568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-05T05:44:47.212448Z digest=sha256:2aed3781bc66d9ded534f50d061fe0001ffd92129a314c8f7815eaba1847f2be

Observation 50941329-fd33-4a0c-ad6a-18f7783ebeff · outbound

This paper cites B., Mann, B., Ryder, N., Subbiah, M., Kaplan, J.

Do Large Language Models Need Intent? Revisiting Response Generation Strategies for Service Assistant B., Mann, B., Ryder, N., Subbiah, M., Kaplan, J

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T05:44:52.371429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-05T05:44:47.397028Z digest=sha256:5de63f46510294be0ea6cf84804779aa5c277cc151e9cc62b61ab87dda23f7db

Observation 9ed09e13-efe7-41fb-9a5e-e92df4c0e960 · outbound

This paper cites -H., Tseng, B.

Do Large Language Models Need Intent? Revisiting Response Generation Strategies for Service Assistant -H., Tseng, B

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-05T05:44:47.586461Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T05:44:47.586461Z digest=sha256:ab904a2624293aedcc249c6cc97aa824b1f0831646a8754afc68fa14821b0061

Observation bd6911da-b306-490d-9a89-8e6fcc25d1b3 · outbound

This paper cites ST-MoE: Designing Stable and Transferable Sparse Expert Models.

Do Large Language Models Need Intent? Revisiting Response Generation Strategies for Service Assistant ST-MoE: Designing Stable and Transferable Sparse Expert Models

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-05T05:44:47.674501Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T05:44:47.674501Z digest=sha256:b5e13d7313ca494dd63c7d5c0332d967c77f548821de02780da3440698eba4d2

Observation 0bc9a501-d846-4cb0-bcef-43d92cf9f3fa · outbound

This paper cites an unresolved cited work.

Do Large Language Models Need Intent? Revisiting Response Generation Strategies for Service Assistant Unresolved cited work

Reference 7

Resolution
unresolved
raw_fallback, observed 2026-08-05T05:44:52.223828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-05T05:44:47.856621Z digest=sha256:c1090d18588afaa0d7db075c52d67252e0cc84e8602009b551cf3c9a02efe6fd

Observation c0be47e0-97ca-4a9e-af2d-91f4a83b46b9 · outbound

This paper cites -W., Lee, K., & Toutanova, K.

Do Large Language Models Need Intent? Revisiting Response Generation Strategies for Service Assistant -W., Lee, K., & Toutanova, K

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T05:44:52.042828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-05T05:44:48.025304Z digest=sha256:edda207c79c1ebd6cabea7f135ee0ce1ae90bdff8299d8972e9376702ad2a7f5

Observation f92171ed-567e-4a26-983b-7e4744115b77 · outbound

This paper cites A Survey on In-context Learning.

Do Large Language Models Need Intent? Revisiting Response Generation Strategies for Service Assistant A Survey on In-context Learning

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-05T05:44:48.207491Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T05:44:48.207491Z digest=sha256:4e48e3553761541fa93ce6713c7b472f67f3fa7b44e5f9a4c3d8acf326d9762d

Observation 1b527136-f254-4699-8f17-c0b100bc803c · outbound

This paper cites an unresolved cited work.

Do Large Language Models Need Intent? Revisiting Response Generation Strategies for Service Assistant Unresolved cited work

Reference 10

Resolution
unresolved
raw_fallback, observed 2026-08-05T05:44:51.903031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-05T05:44:48.353123Z digest=sha256:6df1dae10fa2e87b2ddad2e1d6691e180f0301ac147015aac3aa9d97d53509cc

Observation 4051395e-1c15-473c-ac0a-dea3761887b5 · outbound

This paper cites Can ChatGPT Detect Intent? Evaluating Large Language Models for Spoken Language Understanding.

Do Large Language Models Need Intent? Revisiting Response Generation Strategies for Service Assistant Can ChatGPT Detect Intent? Evaluating Large Language Models for Spoken Language Understanding

Reference 11

Resolution
verified exact
local_arxiv, observed 2026-08-05T05:44:50.201846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-05T05:44:48.451142Z digest=sha256:5af5f9f4dffcf3b83acdb129ed66d481a8719ddbc31d6e881678892cd31a1c10

Observation 0c70bb52-ad16-434d-b326-249e11f356cc · outbound

This paper cites I., Xu, P., Jiang, F., Hu, Y., & Fung, P.

Do Large Language Models Need Intent? Revisiting Response Generation Strategies for Service Assistant I., Xu, P., Jiang, F., Hu, Y., & Fung, P

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T05:44:51.778800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-05T05:44:48.584876Z digest=sha256:88ecf432199248e285aaeb9c2dcf9887268d310a3be5e3bf7ed5de47ce50ccee

Observation 1d9e627f-39a6-44a9-946b-a81a6a671771 · outbound

This paper cites an unresolved cited work.

Do Large Language Models Need Intent? Revisiting Response Generation Strategies for Service Assistant Unresolved cited work

Reference 13

Resolution
unresolved
raw_fallback, observed 2026-08-05T05:44:51.628911Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-05T05:44:48.660652Z digest=sha256:9dce9fb6b67fe47030725d4ace88c5621c8d71d2f86c128fe3ff7587263398e3

Observation 400c1bfd-eb91-4b09-b5b4-b73fcadf797c · outbound

This paper cites an unresolved cited work.

Do Large Language Models Need Intent? Revisiting Response Generation Strategies for Service Assistant Unresolved cited work

Reference 14

Resolution
unresolved
raw_fallback, observed 2026-08-05T05:44:51.475191Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-05T05:44:48.769149Z digest=sha256:58f6fd7ad6bea747b3a77ba98ac5345f840c9a852254ede742ac61d01eb453f7

Observation a1cd1d6f-87be-4837-b5af-3da08fd77163 · outbound

This paper cites an unresolved cited work.

Do Large Language Models Need Intent? Revisiting Response Generation Strategies for Service Assistant Unresolved cited work

Reference 15

Resolution
unresolved
raw_fallback, observed 2026-08-05T05:44:51.311620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-05T05:44:48.855592Z digest=sha256:f25a790358019d6e25788f3b93d6a5381eb5bedf1f8a34a11bfe08782bf913b6

Observation 0a6b2b94-0edb-4372-ae00-09e8fd239a37 · outbound

This paper cites an unresolved cited work.

Do Large Language Models Need Intent? Revisiting Response Generation Strategies for Service Assistant Unresolved cited work

Reference 16

Resolution
unresolved
raw_fallback, observed 2026-08-05T05:44:51.160843Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-05T05:44:48.962804Z digest=sha256:bdd3ab0cd3ef0ade97024fe9dd65b1f7e765237dc7d5f74ff6ea11bca79e21e5

Observation 40933156-3143-461d-8bf2-5927c56fe044 · outbound

This paper cites Enhancing the Generalization for Intent Classification and Out-of-Domain Detection in SLU.

Do Large Language Models Need Intent? Revisiting Response Generation Strategies for Service Assistant Enhancing the Generalization for Intent Classification and Out-of-Domain Detection in SLU

Reference 17

Resolution
metadata mismatch
local_arxiv, observed 2026-08-05T05:44:49.978198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-05T05:44:49.086284Z digest=sha256:0a1e87a8aa5e23b7f42cc13889acd4538cb461728cf117262f25348607d6a322

Observation 2439c2f5-326b-4e51-bbdd-cd1fe4401faf · outbound

This paper cites Finetuned Language Models Are Zero-Shot Learners.

Do Large Language Models Need Intent? Revisiting Response Generation Strategies for Service Assistant Finetuned Language Models Are Zero-Shot Learners

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-05T05:44:49.179159Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T05:44:49.179159Z digest=sha256:fc93df448bc66813b17ae23e3aa94d4ccfa7def0fdd27f26160f5084aa110d8a

Observation 2000c570-48ca-4697-8417-1dc7457c1b42 · outbound

This paper cites an unresolved cited work.

Do Large Language Models Need Intent? Revisiting Response Generation Strategies for Service Assistant Unresolved cited work

Reference 19

Resolution
unresolved
raw_fallback, observed 2026-08-05T05:44:50.946340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-05T05:44:49.307305Z digest=sha256:e0a85b41430cdbadbe43a49773cca9ba264a45953631e0b999b389bb053b561e

Observation 3438efae-8836-4388-906f-ce4b57c8bfc3 · outbound

This paper cites M., Raghunathan, A., Liang, P., & Ma, T.

Do Large Language Models Need Intent? Revisiting Response Generation Strategies for Service Assistant M., Raghunathan, A., Liang, P., & Ma, T

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T05:44:50.744341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-05T05:44:49.428444Z digest=sha256:137de5be19689bd21eb80d2e5aaa9453c7cde51fd3a66305aaa065853f39a854

Observation 5fd4d4df-296c-42c3-befb-47a77e9dd856 · outbound

This paper cites A Survey of Large Language Models.

Do Large Language Models Need Intent? Revisiting Response Generation Strategies for Service Assistant A Survey of Large Language Models

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-05T05:44:49.581653Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T05:44:49.581653Z digest=sha256:290a0ad59ad83c135872926161d12cdbacc156e1e8c50d5ab3714ab69d3b319f

Observation 265876d5-5b5c-4213-b6d6-9151f83bca56 · outbound

This paper cites an unresolved cited work.

Do Large Language Models Need Intent? Revisiting Response Generation Strategies for Service Assistant Unresolved cited work

Reference 22

Resolution
unresolved
raw_fallback, observed 2026-08-05T05:44:50.539902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-05T05:44:49.725882Z digest=sha256:faa5923957b3f3f656eedcfd7264ef77b2f717692c2cc41a713d74d3a84a5322

Pith citing papers

Observation f4bf0df3-4daa-402e-bcd0-5bd652ab8649 · inbound

Clinical Communication Processing with Models Trained on LLM-Generated Synthetic Data: A Structured Survey and Novel Application Case Studies cites this paper.

Clinical Communication Processing with Models Trained on LLM-Generated Synthetic Data: A Structured Survey and Novel Application Case Studies Do Large Language Models Need Intent? Revisiting Response Generation Strategies for Service Assistant

Reference 7

Resolution
verified exact
local_arxiv, observed 2026-08-07T19:41:14.948287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-07T19:41:10.713507Z digest=sha256:1ce82cc6df2b658a331a3574fa59b7ec6bcd317717e84dcb5233dfb03d50dc2e