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Paper Citation Record · LEDGER

Rank It, Then Ask It: Input Reranking for Maximizing the Performance of LLMs on Symmetric Tasks

As of 12 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 0 inbound Pith citation observations for arXiv:2412.00546.

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

pith.paper-citation-record.v1
2412.00546 v1

Coverage vector

measured 46 of 46 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T05:21:55.231788Z

measured 46 of 46 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+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

46 of 46 outbound references displayed

  • verified exact3
  • verified fuzzy2
  • unresolved41
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4bf151b7-4556-45d4-af81-5c7527e210be · outbound

This paper cites an unresolved cited work.

Rank It, Then Ask It: Input Reranking for Maximizing the Performance of LLMs on Symmetric Tasks Unresolved cited work

Reference 1

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no resolver link, observed 2026-08-12T05:21:54.959917Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:21:54.959917Z digest=sha256:37fcbf90e48be24686a37d015c3312398e9c8c66ef3cae819285203cab6ac58b

Observation 64efd7a8-95da-4eb2-aba5-b5c90b62fe88 · outbound

This paper cites Longformer: The Long-Document Transformer.

Rank It, Then Ask It: Input Reranking for Maximizing the Performance of LLMs on Symmetric Tasks Longformer: The Long-Document Transformer

Reference 2

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:21:54.966886Z digest=sha256:f97a4482011c44d7f3ba8461b5421537c1aad22b609ea3fb492c8e927cf9a356

Observation d7229dd4-1067-428e-a99d-b1e09cfb1b95 · outbound

This paper cites Language Models are Few-Shot Learners.

Rank It, Then Ask It: Input Reranking for Maximizing the Performance of LLMs on Symmetric Tasks Language Models are Few-Shot Learners

Reference 3

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no resolver link, observed 2026-08-12T05:21:54.975069Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:21:54.975069Z digest=sha256:e6f69cc6fbdac1feb4c6d6726f776092f63a01aec1aef7159768bbdc8e5d4110

Observation 274b31cc-8aa0-464d-b269-431e71824cf2 · outbound

This paper cites Removing Bias and Incentivizing Precision in Peer-grading.

Rank It, Then Ask It: Input Reranking for Maximizing the Performance of LLMs on Symmetric Tasks Removing Bias and Incentivizing Precision in Peer-grading

Reference 4

Resolution
verified exact
local_arxiv, observed 2026-08-12T05:21:55.765524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T05:21:54.980507Z digest=sha256:8ac25515cd128e5d753e78b299f545bb90e626e67104ae7953b47edb4a28712b

Observation 728d6504-6dfb-4311-afc7-744cb7ca3939 · outbound

This paper cites Walking Down the Memory Maze: Beyond Context Limit through Interactive Reading.

Rank It, Then Ask It: Input Reranking for Maximizing the Performance of LLMs on Symmetric Tasks Walking Down the Memory Maze: Beyond Context Limit through Interactive Reading

Reference 5

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no resolver link, observed 2026-08-12T05:21:54.986282Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:21:54.986282Z digest=sha256:2ead34f353f330ae8ba258b4354ced83ba787c81f7570d51bcb5cd63cc0f80d3

Observation b0247792-3725-428d-a8d5-e521c99071ba · outbound

This paper cites Extending Context Window of Large Language Models via Positional Interpolation.

Rank It, Then Ask It: Input Reranking for Maximizing the Performance of LLMs on Symmetric Tasks Extending Context Window of Large Language Models via Positional Interpolation

Reference 6

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no resolver link, observed 2026-08-12T05:21:54.992738Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:21:54.992738Z digest=sha256:9a49ee063701cd061a6116b5f24b040901a993a7e30dc803f598e803703953a5

Observation 5771a0ee-c7ec-4d9c-bcbd-5457eedf48ca · outbound

This paper cites Generating Long Sequences with Sparse Transformers.

Rank It, Then Ask It: Input Reranking for Maximizing the Performance of LLMs on Symmetric Tasks Generating Long Sequences with Sparse Transformers

Reference 7

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no resolver link, observed 2026-08-12T05:21:54.999278Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:21:54.999278Z digest=sha256:37d642b55016ef1b69e18526631950237a9738a211933ce927d691ee38858693

Observation 7dc62cdc-a21f-4c7e-b476-985103e43510 · outbound

This paper cites an unresolved cited work.

Rank It, Then Ask It: Input Reranking for Maximizing the Performance of LLMs on Symmetric Tasks Unresolved cited work

Reference 8

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raw_fallback, observed 2026-08-12T05:21:56.284821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T05:21:55.004601Z digest=sha256:f6c21a5ee724e07aad036d67500695bf0523ca18ec18de8c336380ba0cf2da28

Observation 7abafe89-e7b1-497c-a3d9-a5c878b2e585 · outbound

This paper cites Incentives for Truthful Peer Grading.

Rank It, Then Ask It: Input Reranking for Maximizing the Performance of LLMs on Symmetric Tasks Incentives for Truthful Peer Grading

Reference 9

Resolution
verified exact
local_arxiv, observed 2026-08-12T05:21:55.651889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T05:21:55.009693Z digest=sha256:87e95135e00d64907c6eb5032b4a6da239ac45179f2a481131a1e0c56e7bd853

Observation a3495457-166c-4d16-a323-89c919fde4b3 · outbound

This paper cites The Llama 3 Herd of Models.

Rank It, Then Ask It: Input Reranking for Maximizing the Performance of LLMs on Symmetric Tasks The Llama 3 Herd of Models

Reference 10

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no resolver link, observed 2026-08-12T05:21:55.015193Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:21:55.015193Z digest=sha256:f85cdc96a635ca0446662ba5e2897a727932def6a57c06e78eb5a2be5cc70646

Observation e657180a-700f-42cb-83ee-a7164584206c · outbound

This paper cites an unresolved cited work.

Rank It, Then Ask It: Input Reranking for Maximizing the Performance of LLMs on Symmetric Tasks Unresolved cited work

Reference 11

Resolution
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raw_fallback, observed 2026-08-12T05:21:56.262029Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T05:21:55.021603Z digest=sha256:57fd3b4ce5b842b4acc99ab0a089f2fe84a5f2545142594607d29950ac0ce023

Observation 9b282550-b3f4-428d-af31-161503ec61ce · outbound

This paper cites an unresolved cited work.

Rank It, Then Ask It: Input Reranking for Maximizing the Performance of LLMs on Symmetric Tasks Unresolved cited work

Reference 12

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raw_fallback, observed 2026-08-12T05:21:56.242658Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T05:21:55.027059Z digest=sha256:10205bc0631ff2c3942d6ac355513f1f3d51f8f1b1c8e7604e2f1c0bc1b937c2

Observation e0615a54-137f-4dde-8941-16f67b097304 · outbound

This paper cites an unresolved cited work.

Rank It, Then Ask It: Input Reranking for Maximizing the Performance of LLMs on Symmetric Tasks Unresolved cited work

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T05:21:55.032251Z digest=sha256:a59be38ae4fde6cb7b445e7baf06b0b89a041f40fdf55c4ae75a8609f59e0fc3

Observation 65a28f5b-5c80-4f8a-be37-9bdae715a976 · outbound

This paper cites an unresolved cited work.

Rank It, Then Ask It: Input Reranking for Maximizing the Performance of LLMs on Symmetric Tasks Unresolved cited work

Reference 14

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:21:55.038098Z digest=sha256:d939ccf103099364f7470f112814e2d9927b44d976fe01ff711b01343a975fca

Observation 53f784d2-b460-45cf-9573-38c17d635d3e · outbound

This paper cites an unresolved cited work.

Rank It, Then Ask It: Input Reranking for Maximizing the Performance of LLMs on Symmetric Tasks Unresolved cited work

Reference 15

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unresolved
raw_fallback, observed 2026-08-12T05:21:56.167874Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T05:21:55.049940Z digest=sha256:94c0e36e41d71b8a7f83a44f49686382275e323821eb176b8af0e5def4592243

Observation 92a2bb3f-b8cd-4fff-a8a6-eafaa9a6738d · outbound

This paper cites an unresolved cited work.

Rank It, Then Ask It: Input Reranking for Maximizing the Performance of LLMs on Symmetric Tasks Unresolved cited work

Reference 16

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raw_fallback, observed 2026-08-12T05:21:56.124302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T05:21:55.060322Z digest=sha256:cf3b7d85ff96083ef3bd279e859ca0eeb1882aad9333dceae2aa2fecd12502f7

Observation 403544a2-e513-42bf-9c00-0156f2f85b91 · outbound

This paper cites In Findings of the Association for Computational Linguistics ACL 2024.

Rank It, Then Ask It: Input Reranking for Maximizing the Performance of LLMs on Symmetric Tasks In Findings of the Association for Computational Linguistics ACL 2024

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T05:21:56.147424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T05:21:55.055186Z digest=sha256:7a5560a061b50219dda6b9a7c6efecc2fe8e50321eeab27e1473ebd52c6e09a8

Observation c5ca8f6f-f3c0-42d3-8f3e-ef0f8c3bbc04 · outbound

This paper cites an unresolved cited work.

Rank It, Then Ask It: Input Reranking for Maximizing the Performance of LLMs on Symmetric Tasks Unresolved cited work

Reference 18

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raw_fallback, observed 2026-08-12T05:21:56.100815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T05:21:55.079703Z digest=sha256:2adf957196c2bc3b27afec8d8b875056bf681f73d4350c759f1dbdadbe9b620c

Observation 02afa4e3-c243-4c7e-8d6d-223a5d1a7a0e · outbound

This paper cites Mistral 7B.

Rank It, Then Ask It: Input Reranking for Maximizing the Performance of LLMs on Symmetric Tasks Mistral 7B

Reference 19

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:21:55.072173Z digest=sha256:24918b9c946b14a8b004ecc31967a6be32402775ed9ee83d730fc2956c28dbbf

Observation c788e1f7-9a59-4869-945e-d0c800a14d02 · outbound

This paper cites an unresolved cited work.

Rank It, Then Ask It: Input Reranking for Maximizing the Performance of LLMs on Symmetric Tasks Unresolved cited work

Reference 20

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no resolver link, observed 2026-08-12T05:21:55.092104Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:21:55.092104Z digest=sha256:7bd05201364fc3322f7a6f6f248fee69952e70c883770961889d51f9a5053f6d

Observation 3b9c502a-5f8a-4e94-9c22-a18d932344a4 · outbound

This paper cites LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression.

Rank It, Then Ask It: Input Reranking for Maximizing the Performance of LLMs on Symmetric Tasks LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression

Reference 21

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no resolver link, observed 2026-08-12T05:21:55.085505Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:21:55.085505Z digest=sha256:b8d7403beeed8f19116808437823bda4e2e995e9a545c7eded17bebc2b0aff5c

Observation dc4b51a0-15ed-4183-a61d-228a514687e8 · outbound

This paper cites Long-context LLMs Struggle with Long In-context Learning.

Rank It, Then Ask It: Input Reranking for Maximizing the Performance of LLMs on Symmetric Tasks Long-context LLMs Struggle with Long In-context Learning

Reference 22

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no resolver link, observed 2026-08-12T05:21:55.102289Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:21:55.102289Z digest=sha256:80414c5b839486601da2b37bc2b21b65c2439c68e3b29e1db209768a8cb474e8

Observation e71d45e2-3559-4f95-80c1-a03a31bd19a2 · outbound

This paper cites Linear Attention Mechanism: An Efficient Attention for Semantic Segmentation.

Rank It, Then Ask It: Input Reranking for Maximizing the Performance of LLMs on Symmetric Tasks Linear Attention Mechanism: An Efficient Attention for Semantic Segmentation

Reference 23

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no resolver link, observed 2026-08-12T05:21:55.097279Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:21:55.097279Z digest=sha256:ccf8a6eaf8624acf58f93f927c465d9d45834bafe3268964bf9eb5ee1bb23588

Observation c05e3dd7-1587-4ecd-ad4c-cd96e28f1fd8 · outbound

This paper cites an unresolved cited work.

Rank It, Then Ask It: Input Reranking for Maximizing the Performance of LLMs on Symmetric Tasks Unresolved cited work

Reference 24

Resolution
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no resolver link, observed 2026-08-12T05:21:55.112390Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:21:55.112390Z digest=sha256:d6e915fcbbaabb2d98963b4b28d569f502ccaf1d793adb91786d0927c474e138

Observation 2f86fc52-0db2-44b3-bde5-845b316f71a9 · outbound

This paper cites Unlocking Context Constraints of LLMs: Enhancing Context Efficiency of LLMs with Self-Information-Based Content Filtering.

Rank It, Then Ask It: Input Reranking for Maximizing the Performance of LLMs on Symmetric Tasks Unlocking Context Constraints of LLMs: Enhancing Context Efficiency of LLMs with Self-Information-Based Content Filtering

Reference 25

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no resolver link, observed 2026-08-12T05:21:55.107313Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:21:55.107313Z digest=sha256:c3844f1dcbc8956cb2ac326706be992a7c6b66cfa3e572a3026f6c9c8b2fbfb3

Observation 0268880d-33d9-48ad-bd87-586623ce5d00 · outbound

This paper cites Integrating Rankings into Quantized Scores in Peer Review.

Rank It, Then Ask It: Input Reranking for Maximizing the Performance of LLMs on Symmetric Tasks Integrating Rankings into Quantized Scores in Peer Review

Reference 26

Resolution
verified exact
local_arxiv, observed 2026-08-12T05:21:55.452089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T05:21:55.127066Z digest=sha256:6a3913dd134a67ac0a59e1b34abb84ea9ede79b81176dad298b322d50348d557

Observation a5209dbc-0a94-40cc-afb6-76913a820146 · outbound

This paper cites an unresolved cited work.

Rank It, Then Ask It: Input Reranking for Maximizing the Performance of LLMs on Symmetric Tasks Unresolved cited work

Reference 27

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unresolved
raw_fallback, observed 2026-08-12T05:21:56.042246Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T05:21:55.132093Z digest=sha256:ea36989156b4c72c80804faad86f506c64240e10ef65d9d307ffcfc3f0b29595

Observation e85a4e4f-b750-4e9d-9d86-6e3557cdf1af · outbound

This paper cites an unresolved cited work.

Rank It, Then Ask It: Input Reranking for Maximizing the Performance of LLMs on Symmetric Tasks Unresolved cited work

Reference 28

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unresolved
no resolver link, observed 2026-08-12T05:21:55.122447Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:21:55.122447Z digest=sha256:0a93523ccfe118d53185987750fb9b1b795838a6faef17ad7215749b95a6d628

Observation a652a6fc-eca3-43b8-a447-aed2f32c5f19 · outbound

This paper cites Document Ranking with a Pretrained Sequence-to-Sequence Model.

Rank It, Then Ask It: Input Reranking for Maximizing the Performance of LLMs on Symmetric Tasks Document Ranking with a Pretrained Sequence-to-Sequence Model

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-12T05:21:55.143151Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:21:55.143151Z digest=sha256:5b0d8ca9e59f53fd88eebf197be64d0d35c9179d127c049402a1203dfda09517

Observation b00b584f-1290-4481-b66f-0327247f961c · outbound

This paper cites Improving Passage Retrieval with Zero-Shot Question Generation.

Rank It, Then Ask It: Input Reranking for Maximizing the Performance of LLMs on Symmetric Tasks Improving Passage Retrieval with Zero-Shot Question Generation

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-12T05:21:55.149300Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:21:55.149300Z digest=sha256:093dcb24b1b3b5f46c9466bc9bea49023c8d0f04b7f37ca3d760df09da11ca8b

Observation 367a4d9f-f59c-4da3-8be6-df3dd5b36ed4 · outbound

This paper cites LLM In-Context Recall is Prompt Dependent.

Rank It, Then Ask It: Input Reranking for Maximizing the Performance of LLMs on Symmetric Tasks LLM In-Context Recall is Prompt Dependent

Reference 31

Resolution
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no resolver link, observed 2026-08-12T05:21:55.137383Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:21:55.137383Z digest=sha256:2f920ceb54701d019f1a9050890a105c8eef816203ee4875f76033caf9453419

Observation abe62445-346a-4fd7-b2d1-f953e1f5ffe0 · outbound

This paper cites an unresolved cited work.

Rank It, Then Ask It: Input Reranking for Maximizing the Performance of LLMs on Symmetric Tasks Unresolved cited work

Reference 32

Resolution
unresolved
raw_fallback, observed 2026-08-12T05:21:55.996406Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T05:21:55.161686Z digest=sha256:6a39c1f4195e3745a014f747e58237c8134ebcfc2b7ee237328783f1198d7bc6

Observation 78b61e9f-38ec-435b-bc91-6dce31a433c5 · outbound

This paper cites an unresolved cited work.

Rank It, Then Ask It: Input Reranking for Maximizing the Performance of LLMs on Symmetric Tasks Unresolved cited work

Reference 33

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unresolved
raw_fallback, observed 2026-08-12T05:21:55.965985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T05:21:55.167650Z digest=sha256:49884d214f2f8a11431cb60b768f880f03d21b71a1f86c12b076ee00ec22d7f9

Observation 7c16d10b-0c8c-4347-a422-556a85840df2 · outbound

This paper cites an unresolved cited work.

Rank It, Then Ask It: Input Reranking for Maximizing the Performance of LLMs on Symmetric Tasks Unresolved cited work

Reference 34

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unresolved
raw_fallback, observed 2026-08-12T05:21:56.016596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T05:21:55.155256Z digest=sha256:12f74aff84201be6aba7df05c8f397886b7bb80e74c6deec15c2687dc8c4be88

Observation 09cffcbf-917e-48bb-a3dd-ba383e32e893 · outbound

This paper cites Gemma 2: Improving Open Language Models at a Practical Size.

Rank It, Then Ask It: Input Reranking for Maximizing the Performance of LLMs on Symmetric Tasks Gemma 2: Improving Open Language Models at a Practical Size

Reference 35

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no resolver link, observed 2026-08-12T05:21:55.185572Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:21:55.185572Z digest=sha256:189ad040a0e2a78747e2cbc377c9a80df393b2d92f85a93f68a98159445b78eb

Observation 5bd0ab59-7455-4cdd-bb5f-a560b76efac9 · outbound

This paper cites An Explanation of In-context Learning as Implicit Bayesian Inference.

Rank It, Then Ask It: Input Reranking for Maximizing the Performance of LLMs on Symmetric Tasks An Explanation of In-context Learning as Implicit Bayesian Inference

Reference 36

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unresolved
no resolver link, observed 2026-08-12T05:21:55.192934Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:21:55.192934Z digest=sha256:13f74d826ed9651a420b5aded719894ca6fbb22f727c5700d568695fe26bd790

Observation d5769c75-73ec-42b7-ab37-5a2db76ec6f9 · outbound

This paper cites an unresolved cited work.

Rank It, Then Ask It: Input Reranking for Maximizing the Performance of LLMs on Symmetric Tasks Unresolved cited work

Reference 37

Resolution
unresolved
raw_fallback, observed 2026-08-12T05:21:55.941105Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation e0e11c14-cf58-460d-beb5-e61a766f08d6 · outbound

This paper cites RankRAG: Unifying Context Ranking with Retrieval-Augmented Generation in LLMs.

Rank It, Then Ask It: Input Reranking for Maximizing the Performance of LLMs on Symmetric Tasks RankRAG: Unifying Context Ranking with Retrieval-Augmented Generation in LLMs

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-12T05:21:55.204721Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:21:55.204721Z digest=sha256:04ad693789ca7a744686450bf83504d0f9ff59ddf5e23233bac759a055212b6e

Observation 60e0fb1a-a6b4-4d2c-b351-fd70b2a80d11 · outbound

This paper cites an unresolved cited work.

Rank It, Then Ask It: Input Reranking for Maximizing the Performance of LLMs on Symmetric Tasks Unresolved cited work

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-12T05:21:55.210809Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:21:55.210809Z digest=sha256:e886793525002124d034b66777c1f949e873dac592080c6f0949ab9ed0d612d7

Observation 674e019e-e562-47aa-9177-4e5aab5ad406 · outbound

This paper cites Qwen2 Technical Report.

Rank It, Then Ask It: Input Reranking for Maximizing the Performance of LLMs on Symmetric Tasks Qwen2 Technical Report

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-12T05:21:55.199500Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:21:55.199500Z digest=sha256:9229bd25ba6cda5615bc872604c13d4fdc20d3db9f5615f40dbf5abfbfe3c518

Observation d4301e6f-e847-4060-b0bc-cd5a15bb3eb4 · outbound

This paper cites an unresolved cited work.

Rank It, Then Ask It: Input Reranking for Maximizing the Performance of LLMs on Symmetric Tasks Unresolved cited work

Reference 41

Resolution
unresolved
raw_fallback, observed 2026-08-12T05:21:55.893942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 5cc7a993-5f20-405d-ae0d-1cb06007ac9a · outbound

This paper cites an unresolved cited work.

Rank It, Then Ask It: Input Reranking for Maximizing the Performance of LLMs on Symmetric Tasks Unresolved cited work

Reference 42

Resolution
unresolved
raw_fallback, observed 2026-08-12T05:21:55.869416Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T05:21:55.226913Z digest=sha256:4141a63308db19d08cc61165dcecc220545d6b51d2d5d44c4b4cfbe347d9022c

Observation f2a2ee4e-7dc4-4c56-99c8-1c2251c12719 · outbound

This paper cites DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code Intelligence.

Rank It, Then Ask It: Input Reranking for Maximizing the Performance of LLMs on Symmetric Tasks DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code Intelligence

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-12T05:21:55.216297Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:21:55.216297Z digest=sha256:0626bd794c781c5738a25090139fc004aa5af46e3ff1a50ad0b1e85a715cbec8

Observation 5c25953d-d5a2-44b9-86da-92f7663ce757 · outbound

This paper cites an unresolved cited work.

Rank It, Then Ask It: Input Reranking for Maximizing the Performance of LLMs on Symmetric Tasks Unresolved cited work

Reference 46

Resolution
unresolved
raw_fallback, observed 2026-08-12T05:21:55.844909Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T05:21:55.231788Z digest=sha256:c11f691245901fc5975f5eb22c2540e2a74a80f33a3d0d5b9e03cf66c799119c

Observation 63c82884-8e57-4f5a-8d98-b09919060252 · outbound

This paper cites Holistic Evaluation of Language Models.

Rank It, Then Ask It: Input Reranking for Maximizing the Performance of LLMs on Symmetric Tasks Holistic Evaluation of Language Models

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-12T05:21:55.117620Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:21:55.117620Z digest=sha256:2c0e30e4db83bb84782498e3b95fcf97d8578c7c1332fbd473d41ed2056bc53e

Observation f7505eb4-7c9e-476d-a060-3c29f8c68a1f · outbound

This paper cites In Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers).

Rank It, Then Ask It: Input Reranking for Maximizing the Performance of LLMs on Symmetric Tasks In Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Reference 2024

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T05:21:56.188720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T05:21:55.044095Z digest=sha256:f2ee030b66ecda9b712c9d7b55523ce13141725a3bfe8d69b87470e00357d8e6

Pith citing papers

No inbound Pith citation observations are available.