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Paper Citation Record · LEDGER

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

As of 14 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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T05:44:47.082674Z digest=sha256:b7a465b5734e6552768b5120ae072d51132956869a25aae5081b8eef7d24012f

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T05:44:47.212448Z digest=sha256:c663b9fbefbc1d760f9c52f8768d07e8070fc575c2de7c970a7ff9a302669056

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T05:44:47.397028Z digest=sha256:5595a09a353b043c39486c6980334e16f315b642da1ee6696449046c631eecd2

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T05:44:47.856621Z digest=sha256:c4f187369293b7ac5399ed63749a35709bf0637f9ad4cadaac0bd82e784b26b0

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T05:44:48.025304Z digest=sha256:d538aff8da9153d2145be817217464106f2a60e09307765cc4198ea5a96639ec

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T05:44:48.353123Z digest=sha256:1e5396f3043c6afc368b5d6cabcf86a6db01bf51ba9ac6f46d5dbe61d84b6a2b

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T05:44:48.451142Z digest=sha256:0aca8b44641c2508166915d63c8604ea6b810f068ee494488eb0f5fd81fb8b0c

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T05:44:48.584876Z digest=sha256:360ccb119d2595a4053998b5b0669cb215d6557ea5cdaf306a5e984d9ab23139

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T05:44:48.660652Z digest=sha256:3a571ae7871bff1905ac28716608e8916dae4e3132fc9f8bfaad9975b9cc118b

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T05:44:48.769149Z digest=sha256:035be5869fbc690c2ed872d40a6d12064abd6b7ec23a5cc45b6f7255668d1db5

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T05:44:48.855592Z digest=sha256:aa7e73435a9f7afa562c67fdeb7d0c67e1427ba5172f1f2b1fcfea66d6c46019

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T05:44:48.962804Z digest=sha256:4138e27704af90a4732de49e9372b1f4bd09c6288e92762b590cd3d9ed6522ad

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T05:44:49.086284Z digest=sha256:f45fc3be08e9efe4b0265009f7de155f516fc02d8f3f6682d40bf9f53d2cc185

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=sha256:4abd5a33b569f9ce0a8a086da841d5472bf01fba9333648b577b11d047ebbeb4

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T05:44:49.307305Z digest=sha256:c9f174af2321a8ab02e227b54596b79d37a5e0cfcec17bd47e72ac47741cd92f

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T05:44:49.428444Z digest=sha256:12aabff0ce2998eb96a0305bc2aa6d9b33295233653ce498c85b071b5d24be7a

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=sha256:57456a515b20dc93c1f6644f4f46ba296d584a4189a300558ab78aaf14dd6718

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-05T05:44:49.725882Z digest=sha256:ed78bfcee3f9404631dedd03354051f5d86188189d86c417e3326c91420a4022

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-07T19:41:10.713507Z digest=sha256:3808f00603bcd660e5c0636d88ca8fe0e7bf28b2021f1c1763dffab8645c62c3