Pith. sign in

Paper Citation Record · LEDGER

Rethinking Post-Training Quantization: Introducing a Statistical Pre-Calibration Approach

As of 16 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:2501.09107.

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

pith.paper-citation-record.v1
2501.09107 v1

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T20:14:57.782249Z

measured 42 of 42 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+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

42 of 42 outbound references displayed

  • verified exact0
  • verified fuzzy5
  • unresolved37
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2b13fed0-58f9-458a-91ad-0aadfb755dc4 · outbound

This paper cites write newline.

Rethinking Post-Training Quantization: Introducing a Statistical Pre-Calibration Approach write newline

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-10T20:14:57.631206Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T20:14:57.631206Z digest=sha256:f6964969e9b92adb7cd9f5a91a5fdf373d02a5efc8a9470f2cfe60dc140fa8cd

Observation b9ca7613-10f5-427c-8388-4285c5b04ae2 · outbound

This paper cites an unresolved cited work.

Rethinking Post-Training Quantization: Introducing a Statistical Pre-Calibration Approach Unresolved cited work

Reference 2

Resolution
unresolved
raw_fallback, observed 2026-08-10T20:14:58.221702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-10T20:14:57.636089Z digest=sha256:75adc6463abaabb2c756229aae3acd69ce8b8bc949c7dcc44fe60b59b6df47a5

Observation d95f137f-524b-487f-b5e1-b7379a9ec5cc · outbound

This paper cites QuaRot: Outlier-Free 4-Bit Inference in Rotated LLMs.

Rethinking Post-Training Quantization: Introducing a Statistical Pre-Calibration Approach QuaRot: Outlier-Free 4-Bit Inference in Rotated LLMs

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-10T20:14:57.639952Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T20:14:57.639952Z digest=sha256:a47cf94dcd9a9785880bcb4d9f08fabe43ea18c8ec2746199f162839bf1e0e4d

Observation 1a6ad31f-bdf2-4095-8e69-2bc6844f036f · outbound

This paper cites Program Synthesis with Large Language Models.

Rethinking Post-Training Quantization: Introducing a Statistical Pre-Calibration Approach Program Synthesis with Large Language Models

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-10T20:14:57.644409Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T20:14:57.644409Z digest=sha256:d546ca9065f7ba1b68ea40f1689612609a2184ffc6772c54a9c712d9c9308285

Observation 25b837f4-5cb1-4d76-9535-0d4ef1b782a9 · outbound

This paper cites an unresolved cited work.

Rethinking Post-Training Quantization: Introducing a Statistical Pre-Calibration Approach Unresolved cited work

Reference 5

Resolution
unresolved
raw_fallback, observed 2026-08-10T20:14:58.211961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-10T20:14:57.648270Z digest=sha256:f5b5ac71181ddd1ab354038bd9fe79d568ba273cdbb6292b0ed658eb0184d03c

Observation 4209da05-1473-48f5-9a79-3fb321c8e7ad · outbound

This paper cites an unresolved cited work.

Rethinking Post-Training Quantization: Introducing a Statistical Pre-Calibration Approach Unresolved cited work

Reference 6

Resolution
unresolved
raw_fallback, observed 2026-08-10T20:14:58.202006Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-10T20:14:57.652261Z digest=sha256:a31f8410ecb1a20bfa0a63ee7a8e601f2a56bd7ae0ed2fc25a947b1248b99c65

Observation 2c419ea2-b46b-43dc-a6ed-c92f459e484e · outbound

This paper cites an unresolved cited work.

Rethinking Post-Training Quantization: Introducing a Statistical Pre-Calibration Approach Unresolved cited work

Reference 7

Resolution
unresolved
raw_fallback, observed 2026-08-10T20:14:58.191374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-10T20:14:57.656070Z digest=sha256:60114cdb2b0c3a961df2ec773a0093ee9ec8bb5b4f489ffaafeebbc383209de2

Observation 3f909076-f14c-4aac-a203-69b19cf45cc1 · outbound

This paper cites Evaluating Large Language Models Trained on Code.

Rethinking Post-Training Quantization: Introducing a Statistical Pre-Calibration Approach Evaluating Large Language Models Trained on Code

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-10T20:14:57.660037Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T20:14:57.660037Z digest=sha256:676d1b5207d0597625f4c9f091c5a89d3355ffd1c890370957fcfc7c38e4a9ad

Observation a03fa18a-3c39-4841-988c-7185a3bd41ca · outbound

This paper cites Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge.

Rethinking Post-Training Quantization: Introducing a Statistical Pre-Calibration Approach Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-10T20:14:57.664278Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T20:14:57.664278Z digest=sha256:41bb497f491dd5af4050b1154efe4f4be61b2731e5f593a86d6524a55d1028bf

Observation adb1912c-a10e-4854-b552-60265f4c9cd2 · outbound

This paper cites an unresolved cited work.

Rethinking Post-Training Quantization: Introducing a Statistical Pre-Calibration Approach Unresolved cited work

Reference 10

Resolution
unresolved
raw_fallback, observed 2026-08-10T20:14:58.181985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-10T20:14:57.667898Z digest=sha256:e78e4528144bbac0afa12cd2405076eb28b969b0605b2bc19db23e9281455e50

Observation 59302c70-3a44-4b4c-8fcd-13951716e8f9 · outbound

This paper cites an unresolved cited work.

Rethinking Post-Training Quantization: Introducing a Statistical Pre-Calibration Approach Unresolved cited work

Reference 11

Resolution
unresolved
raw_fallback, observed 2026-08-10T20:14:58.172630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-10T20:14:57.671503Z digest=sha256:6a95b968e50955ee18b28828c793fba9511bd6694c889e0ed389112b151ce908

Observation a1efe09d-e685-4625-9fb5-e42a89cc6097 · outbound

This paper cites an unresolved cited work.

Rethinking Post-Training Quantization: Introducing a Statistical Pre-Calibration Approach Unresolved cited work

Reference 12

Resolution
unresolved
raw_fallback, observed 2026-08-10T20:14:58.162552Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-10T20:14:57.675242Z digest=sha256:6f4257fb20c9ba2bbcdf98203ad7eabb2fb458f9fd2425c9909aab9e574c65ab

Observation 956d9e00-2d63-4feb-929a-4460bd6d6942 · outbound

This paper cites A., Egiazarian, V., Kuznedelev, D., Frantar, E., Ashkboos, S., Borzunov, A., Hoefler, T., and Alistarh, D.

Rethinking Post-Training Quantization: Introducing a Statistical Pre-Calibration Approach A., Egiazarian, V., Kuznedelev, D., Frantar, E., Ashkboos, S., Borzunov, A., Hoefler, T., and Alistarh, D

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:14:58.151838Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-10T20:14:57.678498Z digest=sha256:7de7540537d34356d982aa6a7ef9c10330ba7e5fad8f491d42c40b2edcad4502

Observation 3824d0e5-0d97-42f0-9a04-f34c739ab35c · outbound

This paper cites Extreme Compression of Large Language Models via Additive Quantization.

Rethinking Post-Training Quantization: Introducing a Statistical Pre-Calibration Approach Extreme Compression of Large Language Models via Additive Quantization

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-10T20:14:57.682665Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T20:14:57.682665Z digest=sha256:eb5da5a5e949e899ce391bc92eb0a85babde1628d4a3a99bb086c8328fcdb91f

Observation b9135e16-6b0d-4b8a-8b73-1dfd1a2de8ba · outbound

This paper cites and Alistarh, D.

Rethinking Post-Training Quantization: Introducing a Statistical Pre-Calibration Approach and Alistarh, D

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:14:58.140224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-10T20:14:57.686385Z digest=sha256:fbf5fadd534f6d939bedd53ebf3c67e669f47cf0fa48b383aa8a38f84a27744e

Observation 47c00fda-f0e4-475e-8f4a-c71407c10ad7 · outbound

This paper cites an unresolved cited work.

Rethinking Post-Training Quantization: Introducing a Statistical Pre-Calibration Approach Unresolved cited work

Reference 16

Resolution
unresolved
raw_fallback, observed 2026-08-10T20:14:58.129684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-10T20:14:57.689793Z digest=sha256:e768d274adf35554ae7227deff6b44dff7e6152e0d64b18d4a994d50c77efa98

Observation 7bf917fa-664d-47d8-b6ed-b8c47b714bb0 · outbound

This paper cites The Pile: An 800GB Dataset of Diverse Text for Language Modeling.

Rethinking Post-Training Quantization: Introducing a Statistical Pre-Calibration Approach The Pile: An 800GB Dataset of Diverse Text for Language Modeling

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-10T20:14:57.693705Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T20:14:57.693705Z digest=sha256:154198806eeb476672e203ec45d2cbaf5bc2261953ec076a851aceac9d4bf620

Observation 705b236e-44ab-4078-a24c-c6dbfcf7f145 · outbound

This paper cites an unresolved cited work.

Rethinking Post-Training Quantization: Introducing a Statistical Pre-Calibration Approach Unresolved cited work

Reference 18

Resolution
unresolved
raw_fallback, observed 2026-08-10T20:14:58.119449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-10T20:14:57.697394Z digest=sha256:c50ccf6a0025e52ec733334ce6901bda9ef3e8e643f3fa634940e257333ee68a

Observation 436e435e-aa83-48cc-b3f4-37ff8e07a5ca · outbound

This paper cites S., Tayaranian, M., Asgharian, M., and Partovi Nia, V.

Rethinking Post-Training Quantization: Introducing a Statistical Pre-Calibration Approach S., Tayaranian, M., Asgharian, M., and Partovi Nia, V

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:14:58.108251Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-10T20:14:57.700523Z digest=sha256:b92f15dc1ecf17ae250c17933cd2148dd6cebda8d62798b33e73cf28ef10b99a

Observation 18e5209b-705d-47de-bb3f-7dcfd0db3fd4 · outbound

This paper cites and Stork, D.

Rethinking Post-Training Quantization: Introducing a Statistical Pre-Calibration Approach and Stork, D

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:14:58.096982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-10T20:14:57.703919Z digest=sha256:6896a7df48e3457f38b6dabc0ef8d6413283020ec5a1ef9404944be4db6ebbcc

Observation 2c96bd2e-e43c-43a5-ac63-342b305f5d3c · outbound

This paper cites an unresolved cited work.

Rethinking Post-Training Quantization: Introducing a Statistical Pre-Calibration Approach Unresolved cited work

Reference 21

Resolution
unresolved
raw_fallback, observed 2026-08-10T20:14:58.085865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-10T20:14:57.707163Z digest=sha256:872b5fd4c6c3ac4ad760b9366399a9972c6a8cdf127545af7306203c099aad63

Observation 6b55a75c-fa8a-4943-9cb1-45a46314377d · outbound

This paper cites an unresolved cited work.

Rethinking Post-Training Quantization: Introducing a Statistical Pre-Calibration Approach Unresolved cited work

Reference 22

Resolution
unresolved
raw_fallback, observed 2026-08-10T20:14:58.074464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-10T20:14:57.710448Z digest=sha256:52008fa99193795a05e05f3153be3f505b21394d22ed57b7319527e3c59ff84c

Observation c3e39e70-b950-4f7b-87c1-6133f9d3318e · outbound

This paper cites AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration.

Rethinking Post-Training Quantization: Introducing a Statistical Pre-Calibration Approach AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-10T20:14:57.713621Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T20:14:57.713621Z digest=sha256:6befd2484535c5f682cadbafe8295df6fff529f3fe278faa7a11c31cda82964a

Observation 35507783-b43f-4522-a946-7a33ca23ed3b · outbound

This paper cites QServe: W4A8KV4 Quantization and System Co-design for Efficient LLM Serving.

Rethinking Post-Training Quantization: Introducing a Statistical Pre-Calibration Approach QServe: W4A8KV4 Quantization and System Co-design for Efficient LLM Serving

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-10T20:14:57.717103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T20:14:57.717103Z digest=sha256:f228e0bf349c5531813063dcb97708d38a8ff2c1609fba6c7001634d264de8d5

Observation 8f7e307b-7fdf-42e2-b184-d7e979a2c9bf · outbound

This paper cites LLM-QAT: Data-Free Quantization Aware Training for Large Language Models.

Rethinking Post-Training Quantization: Introducing a Statistical Pre-Calibration Approach LLM-QAT: Data-Free Quantization Aware Training for Large Language Models

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-10T20:14:57.720696Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T20:14:57.720696Z digest=sha256:c5342b8d8389a4e3020277b80dc8e6759ba7fcfcf9d5c3e2e096331eea97fd87

Observation 3bea5f49-8f5e-4ccf-9aa8-b93115994e8c · outbound

This paper cites Pointer Sentinel Mixture Models.

Rethinking Post-Training Quantization: Introducing a Statistical Pre-Calibration Approach Pointer Sentinel Mixture Models

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-10T20:14:57.724291Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T20:14:57.724291Z digest=sha256:04d630741c2e8cbc66b950ada6b771e5b1c5709e113dd21313285b7d8cbca871

Observation 7ca87c88-0d67-4ab0-9142-ee2d7b8641e0 · outbound

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

Rethinking Post-Training Quantization: Introducing a Statistical Pre-Calibration Approach A., Van Baalen, M., Louizos, C., and Blankevoort, T

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:14:58.063181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-10T20:14:57.727950Z digest=sha256:8878d66c6c8a13ee64c7ddba4e167eb9e758c610e93e192ee60b847236a545ed

Observation 3fe7ec17-bc69-4f26-aea9-07e4a0090233 · outbound

This paper cites The RefinedWeb Dataset for Falcon LLM: Outperforming Curated Corpora with Web Data, and Web Data Only.

Rethinking Post-Training Quantization: Introducing a Statistical Pre-Calibration Approach The RefinedWeb Dataset for Falcon LLM: Outperforming Curated Corpora with Web Data, and Web Data Only

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-10T20:14:57.731643Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T20:14:57.731643Z digest=sha256:2222fb8cf8f27f26dabe350e6c7c8cbcc1b58c26a0967b26dc24f9627cf86f68

Observation 795d8365-605a-4e2b-8472-72ec1974f3b0 · outbound

This paper cites an unresolved cited work.

Rethinking Post-Training Quantization: Introducing a Statistical Pre-Calibration Approach Unresolved cited work

Reference 29

Resolution
unresolved
raw_fallback, observed 2026-08-10T20:14:58.051519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-10T20:14:57.735114Z digest=sha256:c8cb9a20d32ee3e588cd5bcda371fed2cbe8be3acb1b1538ad36b6648d51b6b6

Observation 75ab4bbb-5a9c-4f2e-933f-53db3269d1f2 · outbound

This paper cites Code Llama: Open Foundation Models for Code.

Rethinking Post-Training Quantization: Introducing a Statistical Pre-Calibration Approach Code Llama: Open Foundation Models for Code

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-10T20:14:57.738669Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T20:14:57.738669Z digest=sha256:16f28d717abf49c84ab3fdae9111cf6607f5bbeb86623e92cd4e32d2ae8a0771

Observation 501f2658-0854-41ab-8d6d-fca28ab6c11d · outbound

This paper cites L., Bhagavatula, C., and Choi, Y.

Rethinking Post-Training Quantization: Introducing a Statistical Pre-Calibration Approach L., Bhagavatula, C., and Choi, Y

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-10T20:14:57.742376Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T20:14:57.742376Z digest=sha256:d642124c6aa2804b8fd2e396247d28b395d7069f9ff5e935cf2a8c7a047c16fe

Observation 01dea5f8-39f0-4210-8c68-1fb54cb72468 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

Rethinking Post-Training Quantization: Introducing a Statistical Pre-Calibration Approach LLaMA: Open and Efficient Foundation Language Models

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-10T20:14:57.745665Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T20:14:57.745665Z digest=sha256:1cc1507fac090c36983cd6414b7c7e651b1b217002b9b05d816777e462775572

Observation e8d0ba2e-8a58-4eab-8522-166fa322f498 · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

Rethinking Post-Training Quantization: Introducing a Statistical Pre-Calibration Approach Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-10T20:14:57.748956Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T20:14:57.748956Z digest=sha256:9e34aae757c747f8707e631da55889a844bc8dd00b6050b3cd04a4166a3f4de8

Observation 1ff25297-f8cd-4ef9-8876-d6da3c1b7fde · outbound

This paper cites an unresolved cited work.

Rethinking Post-Training Quantization: Introducing a Statistical Pre-Calibration Approach Unresolved cited work

Reference 34

Resolution
unresolved
raw_fallback, observed 2026-08-10T20:14:58.032876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-10T20:14:57.752401Z digest=sha256:e6fa5156a62e572d218f4d3949f3ab8e947b62962c3b0fe3f142344b08363140

Observation c7bd6acf-dd72-4cfb-b190-b5f5bb371332 · outbound

This paper cites an unresolved cited work.

Rethinking Post-Training Quantization: Introducing a Statistical Pre-Calibration Approach Unresolved cited work

Reference 35

Resolution
unresolved
raw_fallback, observed 2026-08-10T20:14:58.021320Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-10T20:14:57.755613Z digest=sha256:6deba953950803fa7f25e270b9efbd1e5039fed7a33c016debefd0ba6ec8a9ee

Observation 7e98e8b2-f0b7-48ed-add8-075667638ebf · outbound

This paper cites HellaSwag: Can a Machine Really Finish Your Sentence?.

Rethinking Post-Training Quantization: Introducing a Statistical Pre-Calibration Approach HellaSwag: Can a Machine Really Finish Your Sentence?

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-10T20:14:57.759331Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T20:14:57.759331Z digest=sha256:43fa6b512776b4f151bf0ec56a44ca5e1a279d73964153c5b44dacccbddcb5f5

Observation b970212f-d1d4-4ac1-941b-6eea06ace790 · outbound

This paper cites OPT: Open Pre-trained Transformer Language Models.

Rethinking Post-Training Quantization: Introducing a Statistical Pre-Calibration Approach OPT: Open Pre-trained Transformer Language Models

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-10T20:14:57.762841Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T20:14:57.762841Z digest=sha256:a60c2715b2efd8d70298303fd4c7146ca2aef9e71ed7b512325fbd4e9e68b7b5

Observation 6c791eb9-e97d-4c49-aedb-f98d0fe84ff5 · outbound

This paper cites an unresolved cited work.

Rethinking Post-Training Quantization: Introducing a Statistical Pre-Calibration Approach Unresolved cited work

Reference 38

Resolution
unresolved
raw_fallback, observed 2026-08-10T20:14:58.010725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-10T20:14:57.767595Z digest=sha256:dbb7d4fa30a59fd5f7a74b145e7bfc19841063ee437b7860d65071d9b5185109

Observation 63214e17-010f-476c-84f3-d49e9e2e1435 · outbound

This paper cites an unresolved cited work.

Rethinking Post-Training Quantization: Introducing a Statistical Pre-Calibration Approach Unresolved cited work

Reference 39

Resolution
unresolved
raw_fallback, observed 2026-08-10T20:14:57.999705Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-10T20:14:57.771162Z digest=sha256:3ce1e77f3a05a628b45780205b5156d06ae67ebcc45a40100c4ab698204dc875

Observation 8f6db896-561a-42c1-ba00-13823eaa0394 · outbound

This paper cites an unresolved cited work.

Rethinking Post-Training Quantization: Introducing a Statistical Pre-Calibration Approach Unresolved cited work

Reference 40

Resolution
unresolved
raw_fallback, observed 2026-08-10T20:14:57.987990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-10T20:14:57.774847Z digest=sha256:78bcb594c84077ec088eec5bad544137fc73e67e53f51af765a2761fd7955cf7

Observation a1440eb5-360b-4b70-a7c7-3cf432871322 · outbound

This paper cites A Survey on Model Compression for Large Language Models.

Rethinking Post-Training Quantization: Introducing a Statistical Pre-Calibration Approach A Survey on Model Compression for Large Language Models

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-10T20:14:57.778355Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T20:14:57.778355Z digest=sha256:e04e4df6da593b415a2c32988457a9b05d233aa6dd183c4c513977ab47caa730

Observation b64d1748-4bf4-4fc3-9205-8b121104155b · outbound

This paper cites an unresolved cited work.

Rethinking Post-Training Quantization: Introducing a Statistical Pre-Calibration Approach Unresolved cited work

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-10T20:14:57.782249Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T20:14:57.782249Z digest=sha256:20ee5ec5f16593c98d012d5c94e805d917e38ee36b695f67232e000220459253

Pith citing papers

No inbound Pith citation observations are available.