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Paper Citation Record · LEDGER

Improving Quantized Model Performance in Qualitative Analysis with Multi-Pass Prompt Verification

As of 17 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 0 inbound Pith citation observations for arXiv:2605.20193.

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

pith.paper-citation-record.v1
2605.20193 v1

Coverage vector

measured 24 of 24 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-21T09:35:10.701255Z

measured 24 of 24 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

24 of 24 outbound references displayed

  • verified exact3
  • verified fuzzy18
  • unresolved1
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0b2a4572-f7e1-4fb1-93e2-f35d72985e81 · outbound

This paper cites Procedia Comput.

Improving Quantized Model Performance in Qualitative Analysis with Multi-Pass Prompt Verification Procedia Comput

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T09:39:58.353569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-21T09:35:10.701255Z digest=sha256:7527868fa20600702cdc54f65095dae5d888d01e60f1345d0959988e86c0d2a5

Observation 12686f9c-9f0f-4137-b392-f8a35cb58fba · outbound

This paper cites an unresolved cited work.

Improving Quantized Model Performance in Qualitative Analysis with Multi-Pass Prompt Verification Unresolved cited work

Reference 2

Resolution
unresolved
raw_fallback, observed 2026-05-21T09:39:58.349425Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 15c79ee3-e426-4dac-9804-45f8f6854c1f · outbound

This paper cites Sociologica 18(2), 145–168 (2024).

Improving Quantized Model Performance in Qualitative Analysis with Multi-Pass Prompt Verification Sociologica 18(2), 145–168 (2024)

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T09:39:58.351401Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-21T09:35:10.701255Z digest=sha256:811bba722f194cdfe839aa954102745ec6aa391ae4bce96e220e743a11f59544

Observation a35e2cd1-455f-4a1f-a65e-5f250503140a · outbound

This paper cites In: Proceedings of the 4th International Conference on Natural Language Processing for Digital Humanities, pp.

Improving Quantized Model Performance in Qualitative Analysis with Multi-Pass Prompt Verification In: Proceedings of the 4th International Conference on Natural Language Processing for Digital Humanities, pp

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T09:39:58.355708Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-21T09:35:10.701255Z digest=sha256:98068e323c7611da080738e078172511808059e601d63b79248f35deff761149

Observation b49d5fd6-e606-4e75-b85a-5eaf86b6affd · outbound

This paper cites Internet High.

Improving Quantized Model Performance in Qualitative Analysis with Multi-Pass Prompt Verification Internet High

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T09:39:58.339170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-21T09:35:10.701255Z digest=sha256:aff3ea9dee651929a0e45c3b51469064fc1846bfd6d733f0d0f8fcc4d8f51594

Observation 7203d425-90d1-4338-9f35-a63b2e23b0a6 · outbound

This paper cites In: 2025 IEEE Nordic Circuits and Systems Conference (NorCAS), pp.

Improving Quantized Model Performance in Qualitative Analysis with Multi-Pass Prompt Verification In: 2025 IEEE Nordic Circuits and Systems Conference (NorCAS), pp

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T09:39:58.347262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-21T09:35:10.701255Z digest=sha256:e51eaf39043f1ec8593c50cc1d094a8a76e6a1bb62b2180be42f3f3be03601fb

Observation 819ac796-c8b2-4714-8673-bbb59e83de40 · outbound

This paper cites Hallucination of Multimodal Large Language Models: A Survey.

Improving Quantized Model Performance in Qualitative Analysis with Multi-Pass Prompt Verification Hallucination of Multimodal Large Language Models: A Survey

Reference 7

Resolution
metadata mismatch
local_arxiv, observed 2026-05-21T09:39:57.652632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-21T09:35:10.701255Z digest=sha256:1e0110ef1b5c927845989c90fca8f1fe13a674631cdcb72ccb0945d2119c86bb

Observation fd2af3fb-134e-4bf5-a57a-6bf16f1ba64f · outbound

This paper cites In: AI Revolution: Research, Ethics and Society, pp.

Improving Quantized Model Performance in Qualitative Analysis with Multi-Pass Prompt Verification In: AI Revolution: Research, Ethics and Society, pp

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T09:39:58.343163Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-21T09:35:10.701255Z digest=sha256:a66a07065efad65704837abd87d58250111003bd526c8a1d3e6ff7b3bba39cb0

Observation fe804775-877e-4d26-b687-115690130507 · outbound

This paper cites In: Proc.

Improving Quantized Model Performance in Qualitative Analysis with Multi-Pass Prompt Verification In: Proc

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T09:39:58.341094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-21T09:35:10.701255Z digest=sha256:4bbd129c3a7970cf47a94dede2c2782b6f3584bcbb44d69d99295a9d03ad997f

Observation 7a09f7e3-c338-4867-9686-969b58f3cde5 · outbound

This paper cites GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers.

Improving Quantized Model Performance in Qualitative Analysis with Multi-Pass Prompt Verification GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers

Reference 10

Resolution
metadata mismatch
local_arxiv, observed 2026-05-21T09:39:57.655999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 9460fab5-db40-42a1-8913-18edac0411e5 · outbound

This paper cites In: Proc.

Improving Quantized Model Performance in Qualitative Analysis with Multi-Pass Prompt Verification In: Proc

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T09:39:58.357794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-21T09:35:10.701255Z digest=sha256:b84e5ad50e8c1b5e4df0e5ece4bf0b53d3dd64eeaf5fa6a99e3ff9d98e712dfd

Observation 4e65097c-ae4e-464e-a9ef-792be2945fd2 · outbound

This paper cites In: Proc.

Improving Quantized Model Performance in Qualitative Analysis with Multi-Pass Prompt Verification In: Proc

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T09:39:58.345094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-21T09:35:10.701255Z digest=sha256:fd63ce9783cbb75bf84d213fc4b56cb415cdceb62b447e694c7be0245e0f1325

Observation d74e7e15-7d25-4983-b79c-95b16e64e007 · outbound

This paper cites SpQR: A Sparse-Quantized Representation for Near-Lossless LLM Weight Compression.

Improving Quantized Model Performance in Qualitative Analysis with Multi-Pass Prompt Verification SpQR: A Sparse-Quantized Representation for Near-Lossless LLM Weight Compression

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-21T09:39:57.649753Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-21T09:35:10.701255Z digest=sha256:f0eaee620212c4ff4ee99a5ad2bec409a564050ad5c6b669bfdc414e37cdf5e1

Observation da707e8a-d3be-409b-8316-88c7062f9450 · outbound

This paper cites In: Findings of ACL 2024, pp.

Improving Quantized Model Performance in Qualitative Analysis with Multi-Pass Prompt Verification In: Findings of ACL 2024, pp

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T09:39:58.330990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-21T09:35:10.701255Z digest=sha256:b7c61e1643e7c5e3dcc84504efa1f750182abf50bf442f41ffcf080b422ed136

Observation a31b85eb-ac22-47a3-83f9-70f930919c7c · outbound

This paper cites In: Efficient Natural Language and Speech Processing Workshop (NeurIPS), vol.

Improving Quantized Model Performance in Qualitative Analysis with Multi-Pass Prompt Verification In: Efficient Natural Language and Speech Processing Workshop (NeurIPS), vol

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T09:39:58.335278Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-21T09:35:10.701255Z digest=sha256:97aeaaa369d50140e09ee5e26fdcb4ce90e04dfd921dc9921ddbfc754ddda42a

Observation 24302fc2-99bf-4c38-93d1-4826099c8777 · outbound

This paper cites ACM Trans.

Improving Quantized Model Performance in Qualitative Analysis with Multi-Pass Prompt Verification ACM Trans

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T09:39:58.333011Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-21T09:35:10.701255Z digest=sha256:0be4c6632a52aaee82a134daef9199747781a39d517d2aa74b126ca2eec3ba75

Observation 00982ecb-ee49-4567-9dbb-4422913bf65e · outbound

This paper cites In: 2025 IEEE 5th Int.

Improving Quantized Model Performance in Qualitative Analysis with Multi-Pass Prompt Verification In: 2025 IEEE 5th Int

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T09:39:58.337248Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-21T09:35:10.701255Z digest=sha256:8c76b7f33cf15c9afc00963548bf94a3640e336e973e465166ec092f2a3fa1b8

Observation cc24fc49-8c1f-411c-a24b-02405fe8e47d · outbound

This paper cites In: Findings of NAACL 2025, pp.

Improving Quantized Model Performance in Qualitative Analysis with Multi-Pass Prompt Verification In: Findings of NAACL 2025, pp

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T09:39:58.328801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-21T09:35:10.701255Z digest=sha256:ea6210954b7fae5752d62fe55436e1decdd30a112991f08327e6a349b2800e60

Observation efeb3a3b-6af4-4a17-a0f9-cb40cae10201 · outbound

This paper cites IEEE Access 13, 202143–202170 (2025).

Improving Quantized Model Performance in Qualitative Analysis with Multi-Pass Prompt Verification IEEE Access 13, 202143–202170 (2025)

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T09:39:58.326627Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-21T09:35:10.701255Z digest=sha256:ecd2b6347cb4baf410429bf76b454aa3409c51c3e5d02e96d3af5ec88430456c

Observation 05063dcc-5f7e-41df-82aa-1e994c1fd865 · outbound

This paper cites In: Proc.

Improving Quantized Model Performance in Qualitative Analysis with Multi-Pass Prompt Verification In: Proc

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T09:39:58.322854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-21T09:35:10.701255Z digest=sha256:ccc2eba7db3bded5ccce25419f8fa1e13b1ac0a57821b041ba39f66c15163672

Observation 88117e4c-a03c-43f1-94a0-a3ca92a7835b · outbound

This paper cites In: Findings of ACL 2024, pp.

Improving Quantized Model Performance in Qualitative Analysis with Multi-Pass Prompt Verification In: Findings of ACL 2024, pp

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T09:39:58.324764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-21T09:35:10.701255Z digest=sha256:9e26c0238f0a2c3be06d39d96bdedd1182b2adc49cf7390cc15fd910d4a6802d

Observation 3a732e4f-6d5e-431d-b794-842e8aee8de5 · outbound

This paper cites CRANE: Reasoning with constrained LLM generation.

Improving Quantized Model Performance in Qualitative Analysis with Multi-Pass Prompt Verification CRANE: Reasoning with constrained LLM generation

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-05-21T09:39:57.644035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-21T09:35:10.701255Z digest=sha256:f5c40696b78f5e589dbe3ad81dba20f1402b7ed2a43f22987374806ec2d67b15

Observation 06b085b2-3997-4d19-9289-a8b364f8fe31 · outbound

This paper cites arXiv preprint arXiv:2510.16082 (2026).

Improving Quantized Model Performance in Qualitative Analysis with Multi-Pass Prompt Verification arXiv preprint arXiv:2510.16082 (2026)

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-05-21T09:39:57.646951Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-21T09:35:10.701255Z digest=sha256:6dbaefa43a84fb540bdf05406f6211f4b69996f0422f04fc11052286dd7351cf

Observation 17ec30e9-d289-4377-83db-ebe77a43022d · outbound

This paper cites In: Proc.

Improving Quantized Model Performance in Qualitative Analysis with Multi-Pass Prompt Verification In: Proc

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T09:39:58.320825Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Pith citing papers

No inbound Pith citation observations are available.