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Paper Citation Record · LEDGER

Merge-Friendly Post-Training Quantization for Multi-Target Domain Adaptation

As of 8 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 0 inbound Pith citation observations for arXiv:2505.23651.

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

pith.paper-citation-record.v1
2505.23651 v1

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:45:39.541013Z

measured 29 of 29 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

29 of 29 outbound references displayed

  • verified exact0
  • verified fuzzy23
  • unresolved6
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ebdba7a6-98ae-4f8b-8f48-84a0169abcec · outbound

This paper cites write newline.

Merge-Friendly Post-Training Quantization for Multi-Target Domain Adaptation write newline

Reference 1

Resolution
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no resolver link, observed 2026-08-07T12:45:36.736829Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 16da4283-c2c2-49c9-ad55-a5e43077082d · outbound

This paper cites Git re-basin: Merging models modulo permutation symmetries.

Merge-Friendly Post-Training Quantization for Multi-Target Domain Adaptation Git re-basin: Merging models modulo permutation symmetries

Reference 2

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation b98c4212-956f-476d-8fd4-02ef35a0002b · outbound

This paper cites M., and Mendelson, A.

Merge-Friendly Post-Training Quantization for Multi-Target Domain Adaptation M., and Mendelson, A

Reference 3

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 57fdb963-e242-446a-8511-7af88bfcc1da · outbound

This paper cites Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation.

Merge-Friendly Post-Training Quantization for Multi-Target Domain Adaptation Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation

Reference 4

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unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 5a2cd630-5ad6-432a-b71f-882a32adb2d4 · outbound

This paper cites The cityscapes dataset for semantic urban scene understanding.

Merge-Friendly Post-Training Quantization for Multi-Target Domain Adaptation The cityscapes dataset for semantic urban scene understanding

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation c1d9783e-920e-468e-bdff-6a592862cf82 · outbound

This paper cites Differentiable model compression via pseudo quantization noise.

Merge-Friendly Post-Training Quantization for Multi-Target Domain Adaptation Differentiable model compression via pseudo quantization noise

Reference 6

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 5d8513ea-1c08-4eaa-9350-afd2994a176e · outbound

This paper cites K., McKinstry, J.

Merge-Friendly Post-Training Quantization for Multi-Target Domain Adaptation K., McKinstry, J

Reference 7

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 60f5a627-cdc5-4567-ac1e-01fd58088479 · outbound

This paper cites K., Roy, D., and Carbin, M.

Merge-Friendly Post-Training Quantization for Multi-Target Domain Adaptation K., Roy, D., and Carbin, M

Reference 8

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 473a0ca3-c7b5-4812-b2d1-8f288138d73e · outbound

This paper cites Unsupervised multi-target domain adaptation: An information theoretic approach.

Merge-Friendly Post-Training Quantization for Multi-Target Domain Adaptation Unsupervised multi-target domain adaptation: An information theoretic approach

Reference 9

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no resolver link, observed 2026-08-07T12:45:37.651422Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 89208840-34bb-48e9-a322-89f24725e585 · outbound

This paper cites Deep residual learning for image recognition.

Merge-Friendly Post-Training Quantization for Multi-Target Domain Adaptation Deep residual learning for image recognition

Reference 10

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no resolver link, observed 2026-08-07T12:45:37.769362Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation e36a7482-a254-4567-81ac-6f818860edd9 · outbound

This paper cites and Zheng, L.

Merge-Friendly Post-Training Quantization for Multi-Target Domain Adaptation and Zheng, L

Reference 11

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation f3892e94-e7ae-4225-b76c-6a4c5eb25ecf · outbound

This paper cites Hrda: Context-aware high-resolution domain-adaptive semantic segmentation.

Merge-Friendly Post-Training Quantization for Multi-Target Domain Adaptation Hrda: Context-aware high-resolution domain-adaptive semantic segmentation

Reference 12

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:45:37.970275Z digest=sha256:34ce4072019b09873b5b080148029490923563ab47e204f933946279bddf188b

Observation ddbba7db-002f-4101-a803-f0c6c3646fcf · outbound

This paper cites Training-free model merging for multi-target domain adaptation.

Merge-Friendly Post-Training Quantization for Multi-Target Domain Adaptation Training-free model merging for multi-target domain adaptation

Reference 13

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation c943ee1b-3da8-4b13-9a6c-5e61804a3e06 · outbound

This paper cites \ BRECQ \ : Pushing the limit of post-training quantization by block reconstruction.

Merge-Friendly Post-Training Quantization for Multi-Target Domain Adaptation \ BRECQ \ : Pushing the limit of post-training quantization by block reconstruction

Reference 14

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 76b03aeb-0678-42ff-89b9-e8207e56e40c · outbound

This paper cites Do we really need to access the source data? S ource hypothesis transfer for unsupervised domain adaptation.

Merge-Friendly Post-Training Quantization for Multi-Target Domain Adaptation Do we really need to access the source data? S ource hypothesis transfer for unsupervised domain adaptation

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:45:42.915990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:45:38.193334Z digest=sha256:e00808395848d89813aaa2a7da82bf26e6618877f02a7c4894f28315560d11db

Observation 5e85eeb7-84ca-474d-8a8d-6b2a3577884c · outbound

This paper cites Bit-shrinking: Limiting instantaneous sharpness for improving post-training quantization.

Merge-Friendly Post-Training Quantization for Multi-Target Domain Adaptation Bit-shrinking: Limiting instantaneous sharpness for improving post-training quantization

Reference 16

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 6170e3c9-e528-4acc-91da-88c9fa8ba366 · outbound

This paper cites Source-free domain adaptation for semantic segmentation.

Merge-Friendly Post-Training Quantization for Multi-Target Domain Adaptation Source-free domain adaptation for semantic segmentation

Reference 17

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation cae77c69-cc74-4ae6-b371-f0cf393d87e3 · outbound

This paper cites an unresolved cited work.

Merge-Friendly Post-Training Quantization for Multi-Target Domain Adaptation Unresolved cited work

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation f078c54b-4c97-46a3-a503-9eac08cc0c45 · outbound

This paper cites A., Van Baalen, M., Louizos, C., and Blankevoort, T.

Merge-Friendly Post-Training Quantization for Multi-Target Domain Adaptation A., Van Baalen, M., Louizos, C., and Blankevoort, T

Reference 19

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation bb1e3c73-7804-432d-abb9-5a0002c83f96 · outbound

This paper cites T., Belal, A., Kiran, M., Dolz, J., Blais-Morin, L.-A., and Granger, E.

Merge-Friendly Post-Training Quantization for Multi-Target Domain Adaptation T., Belal, A., Kiran, M., Dolz, J., Blais-Morin, L.-A., and Granger, E

Reference 20

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation bf436c4c-cd28-4056-9d48-2b0b0d06d394 · outbound

This paper cites R., Vineet, V., Roth, S., and Koltun, V.

Merge-Friendly Post-Training Quantization for Multi-Target Domain Adaptation R., Vineet, V., Roth, S., and Koltun, V

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:45:41.424839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 2badb2a0-33fc-4582-97c2-3306b13ae14d · outbound

This paper cites Nipq: Noise proxy-based integrated pseudo-quantization.

Merge-Friendly Post-Training Quantization for Multi-Target Domain Adaptation Nipq: Noise proxy-based integrated pseudo-quantization

Reference 22

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verified fuzzy
raw_fallback, observed 2026-08-07T12:45:41.201477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation f01a02bc-467f-44fa-82f6-1b6ddc925fbe · outbound

This paper cites B., Ramesh, P., Hearn, T., and Hoffman, J.

Merge-Friendly Post-Training Quantization for Multi-Target Domain Adaptation B., Ramesh, P., Hearn, T., and Hoffman, J

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:45:40.959794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:45:39.056783Z digest=sha256:ecb64083d5661f8e23b1e1bef0bfd9c6c16659f3fd6631538c0cdf3271c3ac41

Observation d79d8460-d800-4e85-a8c4-881312274e26 · outbound

This paper cites IDD: A Dataset for Exploring Problems of Autonomous Navigation in Unconstrained Environments.

Merge-Friendly Post-Training Quantization for Multi-Target Domain Adaptation IDD: A Dataset for Exploring Problems of Autonomous Navigation in Unconstrained Environments

Reference 24

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unresolved
no resolver link, observed 2026-08-07T12:45:39.131091Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:45:39.131091Z digest=sha256:87ab1683e0a567699b9d528c76be8ad01c202348c904654cb3a75dc497c5e26a

Observation 4575f538-b54b-4935-8c6e-c345ecf389fc · outbound

This paper cites Deep hashing network for unsupervised domain adaptation.

Merge-Friendly Post-Training Quantization for Multi-Target Domain Adaptation Deep hashing network for unsupervised domain adaptation

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:45:40.721127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:45:39.224508Z digest=sha256:65311f1468c28dc6690be2c3613f7c81f5e422292b2c6cfb930074ccb717d49a

Observation 08293a34-c12e-4c35-9834-f93de02f1f77 · outbound

This paper cites QD rop: Randomly dropping quantization for extremely low-bit post-training quantization.

Merge-Friendly Post-Training Quantization for Multi-Target Domain Adaptation QD rop: Randomly dropping quantization for extremely low-bit post-training quantization

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:45:40.472410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:45:39.340915Z digest=sha256:042f914b5bd287acc116733224e0892477d093084377e05318b215f67bb8dc85

Observation 80ccf157-7ef8-4eae-ac1e-5f41e05bf285 · outbound

This paper cites Training-free pretrained model merging.

Merge-Friendly Post-Training Quantization for Multi-Target Domain Adaptation Training-free pretrained model merging

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:45:40.247162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:45:39.410601Z digest=sha256:c2ff17cc9db18d963f5e6166b48af3ca2ab1acc27031451000f52016877450d6

Observation 7669abeb-87a2-4575-b7ab-a752250c41cf · outbound

This paper cites Multi-target unsupervised domain adaptation without exactly shared categories, 2018.

Merge-Friendly Post-Training Quantization for Multi-Target Domain Adaptation Multi-target unsupervised domain adaptation without exactly shared categories, 2018

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:45:40.035020Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:45:39.471633Z digest=sha256:788d92d76a97359cce8ac5143c7cd3867fec8908b3abb124a63536742f11836d

Observation c63651ca-61c6-4f71-8bf1-46860833a9f3 · outbound

This paper cites V., and Wang, J.

Merge-Friendly Post-Training Quantization for Multi-Target Domain Adaptation V., and Wang, J

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:45:39.839638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:45:39.541013Z digest=sha256:ad76b35ca9771e0ee2128bb63e7eb4b3d9c91fb143a55137b17fcdd5aa1e5090

Pith citing papers

No inbound Pith citation observations are available.