Pith. sign in

Paper Citation Record · LEDGER

RoToR: Towards More Reliable Responses for Order-Invariant Inputs

As of 14 August 2026, this Paper Citation Record lists 49 of 49 outbound references and 0 inbound Pith citation observations for arXiv:2502.08662.

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

pith.paper-citation-record.v1
2502.08662 v3

Coverage vector

measured 49 of 49 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T16:11:43.306809Z

measured 49 of 49 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 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

49 of 49 outbound references displayed

  • verified exact4
  • verified fuzzy2
  • unresolved41
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0528c8be-f89a-4eb5-9ad1-d402f70a3d27 · outbound

This paper cites an unresolved cited work.

RoToR: Towards More Reliable Responses for Order-Invariant Inputs Unresolved cited work

Reference 1

Resolution
unresolved
raw_fallback, observed 2026-08-08T16:11:59.122712Z

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=arxiv_source observed=2026-08-08T16:11:43.085052Z digest=sha256:052530e64a49417306e8041501730dd1449dc7359a33ba8088d3d674d9a6e652

Observation 8075e7fb-d2d2-4739-9b6d-eb560a6331db · outbound

This paper cites When Benchmarks are Targets: Revealing the Sensitivity of Large Language Model Leaderboards.

RoToR: Towards More Reliable Responses for Order-Invariant Inputs When Benchmarks are Targets: Revealing the Sensitivity of Large Language Model Leaderboards

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-08T16:11:43.090058Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T16:11:43.090058Z digest=sha256:2720c60015d79be88c92b83e0c07d06545ea592ef4c85b73dc55c141aa09e6f5

Observation 33655849-7d56-47b8-bcb1-57779644c1ff · outbound

This paper cites L-Eval: Instituting Standardized Evaluation for Long Context Language Models.

RoToR: Towards More Reliable Responses for Order-Invariant Inputs L-Eval: Instituting Standardized Evaluation for Long Context Language Models

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-08T16:11:43.095401Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T16:11:43.095401Z digest=sha256:51ba5202b5efbca42e9393899fc75090c6aa1e154f18ed905037a2db2821e223

Observation b5a807bb-758f-4e1b-b72e-269030a5cd90 · outbound

This paper cites Knowledge-Augmented Language Model Verification.

RoToR: Towards More Reliable Responses for Order-Invariant Inputs Knowledge-Augmented Language Model Verification

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-08T16:11:43.100370Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T16:11:43.100370Z digest=sha256:1ea2c2547c01557c9a8fd8eafef91c9d2a73e061978f07e984f7554bf7afb471

Observation 69335acc-5830-48fa-89d6-cb225a6c43b0 · outbound

This paper cites LongBench: A Bilingual, Multitask Benchmark for Long Context Understanding.

RoToR: Towards More Reliable Responses for Order-Invariant Inputs LongBench: A Bilingual, Multitask Benchmark for Long Context Understanding

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-08T16:11:43.105251Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T16:11:43.105251Z digest=sha256:b82dcfca5007145f4d4bda74eea10dfa228372acbe6faef1cdb3b8970a190f54

Observation 4b8cf42e-68c4-4a89-9871-7deafe2b646c · outbound

This paper cites Lee, and Mengdi Wang.

RoToR: Towards More Reliable Responses for Order-Invariant Inputs Lee, and Mengdi Wang

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T16:11:59.107546Z

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=arxiv_source observed=2026-08-08T16:11:43.109949Z digest=sha256:618372bc65e5a7b0c794e439fc2aea2bdb6b708af73f8477465c1984d0fe7768

Observation 25e592c3-9ec2-41ac-92a0-4937fd2a9a90 · outbound

This paper cites Premise Order Matters in Reasoning with Large Language Models.

RoToR: Towards More Reliable Responses for Order-Invariant Inputs Premise Order Matters in Reasoning with Large Language Models

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-08T16:11:43.114934Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T16:11:43.114934Z digest=sha256:afd4525527e8b0d67dd9a2182e239a0937d318ecda547b8f81c824ec881baf4f

Observation c1c9e37d-25a0-485d-ad36-e9cb13f2e7dc · outbound

This paper cites Fortify the Shortest Stave in Attention: Enhancing Context Awareness of Large Language Models for Effective Tool Use.

RoToR: Towards More Reliable Responses for Order-Invariant Inputs Fortify the Shortest Stave in Attention: Enhancing Context Awareness of Large Language Models for Effective Tool Use

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-08T16:11:43.119285Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T16:11:43.119285Z digest=sha256:1a6d638b4f79539acc379a2b9171ec7bbb07c72bded1c24a4f882e951c79e3f3

Observation e4392f86-f912-4bae-b7fb-a27320183020 · outbound

This paper cites Revisiting Zero-Shot Abstractive Summarization in the Era of Large Language Models from the Perspective of Position Bias.

RoToR: Towards More Reliable Responses for Order-Invariant Inputs Revisiting Zero-Shot Abstractive Summarization in the Era of Large Language Models from the Perspective of Position Bias

Reference 9

Resolution
verified exact
local_arxiv, observed 2026-08-08T16:11:58.877043Z

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=arxiv_source observed=2026-08-08T16:11:43.123903Z digest=sha256:09c1397905402f31968d3d2626e3249b01b0b16f2c4fea541e4947661b60d2d6

Observation 2cf002d3-5778-4f91-8fe2-1f8c1c7dd0f2 · outbound

This paper cites an unresolved cited work.

RoToR: Towards More Reliable Responses for Order-Invariant Inputs Unresolved cited work

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-08T16:11:43.128326Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T16:11:43.128326Z digest=sha256:498f13798302c35201cde2eae06ce8d4ffebdaf1406c97bd3777bafcc09b7f3c

Observation cdbfaff9-978e-4087-96fd-5f1321e991a6 · outbound

This paper cites Changing Answer Order Can Decrease MMLU Accuracy.

RoToR: Towards More Reliable Responses for Order-Invariant Inputs Changing Answer Order Can Decrease MMLU Accuracy

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-08T16:11:43.132926Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T16:11:43.132926Z digest=sha256:921545d49d0f6b7bb27d5e92485ef4a048acc4d87c93a4b4995b1acce7a45198

Observation d41adcbb-afe8-4ebc-8d79-7d9506ff9840 · outbound

This paper cites an unresolved cited work.

RoToR: Towards More Reliable Responses for Order-Invariant Inputs Unresolved cited work

Reference 12

Resolution
unresolved
raw_fallback, observed 2026-08-08T16:11:59.093120Z

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=arxiv_source observed=2026-08-08T16:11:43.137419Z digest=sha256:6fc09a09ee47686093f1dcb1579389b3680443e8cc8a0c015750ec96d2137a73

Observation 50ff3154-c93e-41b1-81fe-ac5201bccfb2 · outbound

This paper cites Transformer Language Models without Positional Encodings Still Learn Positional Information.

RoToR: Towards More Reliable Responses for Order-Invariant Inputs Transformer Language Models without Positional Encodings Still Learn Positional Information

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-08T16:11:43.141542Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T16:11:43.141542Z digest=sha256:6f5432155be5efcdb1f4632e4d3edfde449cebb703fbb5c81626f8daad09024a

Observation 26d74a18-5701-416b-92eb-431831c8d5bd · outbound

This paper cites Measuring Massive Multitask Language Understanding.

RoToR: Towards More Reliable Responses for Order-Invariant Inputs Measuring Massive Multitask Language Understanding

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-08T16:11:43.145904Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T16:11:43.145904Z digest=sha256:6d3b4f82a1bf2ee4bfe3dc786629335ea80b2be525ad03b056e80d27ed6e0846

Observation 20482803-7ae3-4de3-8af2-e4ec0590e16c · outbound

This paper cites Found in the Middle: Calibrating Positional Attention Bias Improves Long Context Utilization.

RoToR: Towards More Reliable Responses for Order-Invariant Inputs Found in the Middle: Calibrating Positional Attention Bias Improves Long Context Utilization

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-08T16:11:43.150444Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T16:11:43.150444Z digest=sha256:9a6c4c6c058282f29e23b072957a79131ecad88831ecbf0e6f034641454443d5

Observation ee0cbb3f-a312-4ffa-84bb-23bf533c3c64 · outbound

This paper cites an unresolved cited work.

RoToR: Towards More Reliable Responses for Order-Invariant Inputs Unresolved cited work

Reference 16

Resolution
metadata mismatch
raw_fallback, observed 2026-08-08T16:11:58.797693Z

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=arxiv_source observed=2026-08-08T16:11:43.154816Z digest=sha256:e2c7d49d7f014c48fe1d0b510b50af429f91e6d15afaa5c07cfe952a6603578e

Observation d8d80f79-dc2c-424c-b3ee-06860d3d8294 · outbound

This paper cites Never Lost in the Middle: Mastering Long-Context Question Answering with Position-Agnostic Decompositional Training.

RoToR: Towards More Reliable Responses for Order-Invariant Inputs Never Lost in the Middle: Mastering Long-Context Question Answering with Position-Agnostic Decompositional Training

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-08T16:11:43.159126Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T16:11:43.159126Z digest=sha256:4d1bb7417cc7577df84bd97f5611b68075db9e23c8fd7824d9c8318011eef20e

Observation 64f84c4e-52ab-4032-bfff-e98d15b56290 · outbound

This paper cites Kosiorek, Seungjin Choi, and Yee Whye Teh.

RoToR: Towards More Reliable Responses for Order-Invariant Inputs Kosiorek, Seungjin Choi, and Yee Whye Teh

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T16:11:59.078685Z

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=arxiv_source observed=2026-08-08T16:11:43.163493Z digest=sha256:6cf9138af0ab10af3c4eab1e10b83872cd88f19f4294b856b9234592c820d840

Observation 2d73777d-18d7-4767-8359-7ca070f796f4 · outbound

This paper cites an unresolved cited work.

RoToR: Towards More Reliable Responses for Order-Invariant Inputs Unresolved cited work

Reference 19

Resolution
unresolved
raw_fallback, observed 2026-08-08T16:11:59.064045Z

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=arxiv_source observed=2026-08-08T16:11:43.167878Z digest=sha256:66cff6262963ab24049ec05bdf18a49c4b600a02c9a25f8a34bf81044928b911

Observation 602bd77f-2fee-4c0d-a613-50ecfbde5380 · outbound

This paper cites an unresolved cited work.

RoToR: Towards More Reliable Responses for Order-Invariant Inputs Unresolved cited work

Reference 20

Resolution
unresolved
raw_fallback, observed 2026-08-08T16:11:59.048966Z

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=arxiv_source observed=2026-08-08T16:11:43.172010Z digest=sha256:21d878e989579051947d18b2e205feece43a87206af51e7bbd8621cb80a942b9

Observation 86719eb5-49df-46f1-9c24-1327797a6b00 · outbound

This paper cites LooGLE: Can Long-Context Language Models Understand Long Contexts?.

RoToR: Towards More Reliable Responses for Order-Invariant Inputs LooGLE: Can Long-Context Language Models Understand Long Contexts?

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-08T16:11:43.176176Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T16:11:43.176176Z digest=sha256:27d90e96d652173e52329a08d51c2cb3d384ca05d294b518fdd50f24631c6cdf

Observation d0b566b4-f2a2-4911-b5b1-57ebc1451f57 · outbound

This paper cites an unresolved cited work.

RoToR: Towards More Reliable Responses for Order-Invariant Inputs Unresolved cited work

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-08T16:11:43.180292Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T16:11:43.180292Z digest=sha256:2397ac7cb0592a5b2d7774c14f7d0a3a6087a71a9154e08fdafffea77c746df3

Observation a0947c20-6a1b-469e-9874-6a1b9ab3e20b · outbound

This paper cites Order-Independence Without Fine Tuning.

RoToR: Towards More Reliable Responses for Order-Invariant Inputs Order-Independence Without Fine Tuning

Reference 23

Resolution
verified exact
local_arxiv, observed 2026-08-08T16:11:43.666537Z

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=arxiv_source observed=2026-08-08T16:11:43.184424Z digest=sha256:84e1f1baf5312fef04df5b27c8fe5ddb96b6062e30ea1b5146358e711133438b

Observation 7afbb6e7-300e-4ca3-b989-75e55d2b9314 · outbound

This paper cites Janossy Pooling: Learning Deep Permutation-Invariant Functions for Variable-Size Inputs.

RoToR: Towards More Reliable Responses for Order-Invariant Inputs Janossy Pooling: Learning Deep Permutation-Invariant Functions for Variable-Size Inputs

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-08T16:11:43.188844Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T16:11:43.188844Z digest=sha256:ed992f6902ffe2933f1b8b7532112eb638c363263fe840960fe908420c618d0a

Observation a612b12d-8eb9-414f-9b18-3d03bd011cda · outbound

This paper cites Relational Pooling for Graph Representations.

RoToR: Towards More Reliable Responses for Order-Invariant Inputs Relational Pooling for Graph Representations

Reference 25

Resolution
metadata mismatch
local_arxiv, observed 2026-08-08T16:11:43.633164Z

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=arxiv_source observed=2026-08-08T16:11:43.193305Z digest=sha256:5617798f2776526d9e6803552a82dcda67299d0ae2d913f4d3941a2e7b91d96d

Observation c5e32d7c-4704-4dd7-bb48-ba676604af5e · outbound

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

RoToR: Towards More Reliable Responses for Order-Invariant Inputs Document Ranking with a Pretrained Sequence-to-Sequence Model

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-08T16:11:43.197790Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T16:11:43.197790Z digest=sha256:efd230edd2d1f2a12225c31b79872a1427e787eccf2b343aa3b087b2a8cb35d7

Observation af62373e-cc99-4318-b692-62ed7484d3f7 · outbound

This paper cites YaRN: Efficient Context Window Extension of Large Language Models.

RoToR: Towards More Reliable Responses for Order-Invariant Inputs YaRN: Efficient Context Window Extension of Large Language Models

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-08T16:11:43.202396Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T16:11:43.202396Z digest=sha256:c0ced20ad2dcc49ca4d17d5fd8a496846559b0a4de90eee47be8d7e6072d7953

Observation 6a2e0a31-f178-4042-b9b2-62f72cffa428 · outbound

This paper cites Attention Sorting Combats Recency Bias In Long Context Language Models.

RoToR: Towards More Reliable Responses for Order-Invariant Inputs Attention Sorting Combats Recency Bias In Long Context Language Models

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-08T16:11:43.207103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T16:11:43.207103Z digest=sha256:7153e2a76143be87b3ddab79ddeb23940dc1f152e80da34464f6c8003fcd75f7

Observation 27005861-b8a7-47f6-be9c-df46ef330059 · outbound

This paper cites Large Language Models Sensitivity to The Order of Options in Multiple-Choice Questions.

RoToR: Towards More Reliable Responses for Order-Invariant Inputs Large Language Models Sensitivity to The Order of Options in Multiple-Choice Questions

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-08T16:11:43.211750Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T16:11:43.211750Z digest=sha256:c09baa115f1a8b819f07bc942247b914fe0f58ba0f65bb6cda514b1ca5ca5e43

Observation 4c814db6-eae6-4497-ae8c-3012900dd8c4 · outbound

This paper cites an unresolved cited work.

RoToR: Towards More Reliable Responses for Order-Invariant Inputs Unresolved cited work

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-08T16:11:43.216366Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T16:11:43.216366Z digest=sha256:80809d5a45a23f9d7e59d174e9b6512e3f07e9db94f9af49dbf323ee1337713e

Observation 816a7cdc-4a43-498b-b502-10e21a8700bc · outbound

This paper cites an unresolved cited work.

RoToR: Towards More Reliable Responses for Order-Invariant Inputs Unresolved cited work

Reference 31

Resolution
unresolved
raw_fallback, observed 2026-08-08T16:11:59.025774Z

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=arxiv_source observed=2026-08-08T16:11:43.222006Z digest=sha256:5fad2195574a6816fad70f8757ed0d4b6beb3f9c908179123add51c9413a6ba8

Observation f049aa28-2781-41e6-81db-1cb369399da5 · outbound

This paper cites MPNet: Masked and Permuted Pre-training for Language Understanding.

RoToR: Towards More Reliable Responses for Order-Invariant Inputs MPNet: Masked and Permuted Pre-training for Language Understanding

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-08T16:11:43.227340Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T16:11:43.227340Z digest=sha256:cb69f86f5f0dc253944713880986162911400fd55f4bbd68056e05e27d21ba2e

Observation 7b2db6a0-f6e5-4046-87a7-c23e8b169f1d · outbound

This paper cites Found in the Middle: Permutation Self-Consistency Improves Listwise Ranking in Large Language Models.

RoToR: Towards More Reliable Responses for Order-Invariant Inputs Found in the Middle: Permutation Self-Consistency Improves Listwise Ranking in Large Language Models

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-08T16:11:43.231800Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T16:11:43.231800Z digest=sha256:74ccc353bc7097de56f01495187183ac2003aea48c1f6fa4205a086ef033c0db

Observation 08cb476e-0d86-4263-95f2-f81087b6417d · outbound

This paper cites Eliminating Position Bias of Language Models: A Mechanistic Approach.

RoToR: Towards More Reliable Responses for Order-Invariant Inputs Eliminating Position Bias of Language Models: A Mechanistic Approach

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-08T16:11:43.236300Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T16:11:43.236300Z digest=sha256:8faeccea3a91e1d035eb4175c6d7afe568146c8fd28473e1cbe0b0627448abbd

Observation e6cc40c6-2a0f-4678-818b-98a9e35f26ba · outbound

This paper cites Unveiling Selection Biases: Exploring Order and Token Sensitivity in Large Language Models.

RoToR: Towards More Reliable Responses for Order-Invariant Inputs Unveiling Selection Biases: Exploring Order and Token Sensitivity in Large Language Models

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-08T16:11:43.241022Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T16:11:43.241022Z digest=sha256:718e218132f310a897f2b807939b5a1d48a46970c8479cbc168210d3218d79c2

Observation 93bb9818-0472-433d-8dd5-b8dd179da69b · outbound

This paper cites Retrieval meets Long Context Large Language Models.

RoToR: Towards More Reliable Responses for Order-Invariant Inputs Retrieval meets Long Context Large Language Models

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-08T16:11:43.245455Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T16:11:43.245455Z digest=sha256:c78085c52990ccd4afcaba58c25be274ea21ed24cfab433f7ca539667e8f3dcb

Observation f04a5292-11e3-4358-8bea-9ab0a1a3549c · outbound

This paper cites TableFormer: Robust Transformer Modeling for Table-Text Encoding.

RoToR: Towards More Reliable Responses for Order-Invariant Inputs TableFormer: Robust Transformer Modeling for Table-Text Encoding

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-08T16:11:43.250067Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T16:11:43.250067Z digest=sha256:24ce002a722cbac27b157c75458ac070b7c809fa2c943a9c9c94b89811ed84b9

Observation 4fbc86f6-2a09-436e-b3d0-36dcd4e0b1d2 · outbound

This paper cites Revisiting Parallel Context Windows: A Frustratingly Simple Alternative and Chain-of-Thought Deterioration.

RoToR: Towards More Reliable Responses for Order-Invariant Inputs Revisiting Parallel Context Windows: A Frustratingly Simple Alternative and Chain-of-Thought Deterioration

Reference 38

Resolution
verified exact
local_arxiv, observed 2026-08-08T16:11:43.475433Z

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=arxiv_source observed=2026-08-08T16:11:43.254371Z digest=sha256:cddd40152abc1f20f46e78fa4c6525174afdb6b741bedc24a638b517403f578d

Observation b6a56d67-c6d5-4008-a1be-e239b1593f1a · outbound

This paper cites Long-Context Language Modeling with Parallel Context Encoding.

RoToR: Towards More Reliable Responses for Order-Invariant Inputs Long-Context Language Modeling with Parallel Context Encoding

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-08T16:11:43.258903Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T16:11:43.258903Z digest=sha256:64c2d56b82b971ebd3c5cfd8725b1503dd92a71b75d2575456a5a854fdc7fda5

Observation f6b33c8d-d6d3-4a1c-ae68-bd913ba2e50a · outbound

This paper cites Mitigate Position Bias in Large Language Models via Scaling a Single Dimension.

RoToR: Towards More Reliable Responses for Order-Invariant Inputs Mitigate Position Bias in Large Language Models via Scaling a Single Dimension

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-08T16:11:43.263677Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T16:11:43.263677Z digest=sha256:0e637b4b811576ea733e91774c9e0cff7c76eb6c36d447920d63a6509cacd55a

Observation 83637988-97db-49b3-9823-231e5813fd6e · outbound

This paper cites Marathon: A Race Through the Realm of Long Context with Large Language Models.

RoToR: Towards More Reliable Responses for Order-Invariant Inputs Marathon: A Race Through the Realm of Long Context with Large Language Models

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-08T16:11:43.267926Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T16:11:43.267926Z digest=sha256:26303bdcbb24a97f731dc7f1df169eb3fcd72e566758941cee60a87ba443f7e3

Observation a5cddc6b-4d55-445b-b55f-3672afa053fb · outbound

This paper cites Found in the Middle: How Language Models Use Long Contexts Better via Plug-and-Play Positional Encoding.

RoToR: Towards More Reliable Responses for Order-Invariant Inputs Found in the Middle: How Language Models Use Long Contexts Better via Plug-and-Play Positional Encoding

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-08T16:11:43.273346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T16:11:43.273346Z digest=sha256:80444337dbc3355a3c735aae021e93d52d08e1bbf7a1cb0608006163bc03077e

Observation 6ce328d6-30c5-4198-8fc8-b9ed21794008 · outbound

This paper cites RobuT: A Systematic Study of Table QA Robustness Against Human-Annotated Adversarial Perturbations.

RoToR: Towards More Reliable Responses for Order-Invariant Inputs RobuT: A Systematic Study of Table QA Robustness Against Human-Annotated Adversarial Perturbations

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-08T16:11:43.277982Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T16:11:43.277982Z digest=sha256:75b4cc2aa1efe38bb58594b8c5e45f9bc1a49aa26f57f8a19dad1dc68724c34c

Observation 3d638b7b-b9d6-4b2c-898d-178b9c120022 · outbound

This paper cites an unresolved cited work.

RoToR: Towards More Reliable Responses for Order-Invariant Inputs Unresolved cited work

Reference 44

Resolution
unresolved
raw_fallback, observed 2026-08-08T16:11:59.011296Z

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=arxiv_source observed=2026-08-08T16:11:43.283276Z digest=sha256:3b8ac945b6fde1ade3131c9211dfacd133e0ad163a7fc51e4c18a57c00e68c1c

Observation c1a5f3c6-2c83-4c46-9ce4-e545f8dc00d1 · outbound

This paper cites an unresolved cited work.

RoToR: Towards More Reliable Responses for Order-Invariant Inputs Unresolved cited work

Reference 45

Resolution
unresolved
raw_fallback, observed 2026-08-08T16:11:58.996620Z

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=arxiv_source observed=2026-08-08T16:11:43.287797Z digest=sha256:5e85945c2f10f66f49bc8d4affd2f1a3eeb4852be6d94a3e6e2280c85fe6af21

Observation 07e90783-269e-41a3-9134-acecebb3b2e4 · outbound

This paper cites FREB-TQA: A Fine-Grained Robustness Evaluation Benchmark for Table Question Answering.

RoToR: Towards More Reliable Responses for Order-Invariant Inputs FREB-TQA: A Fine-Grained Robustness Evaluation Benchmark for Table Question Answering

Reference 46

Resolution
verified exact
local_arxiv, observed 2026-08-08T16:11:43.384909Z

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=arxiv_source observed=2026-08-08T16:11:43.292066Z digest=sha256:236ef0689e6ff560a6d63e9ac50435c764bfc68bcd595b3ced17437d3c7f7f61

Observation 0ee9611e-05e1-43cf-a692-2d2cc14ca5f8 · outbound

This paper cites JudgeLM: Fine-tuned Large Language Models are Scalable Judges.

RoToR: Towards More Reliable Responses for Order-Invariant Inputs JudgeLM: Fine-tuned Large Language Models are Scalable Judges

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-08T16:11:43.296725Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T16:11:43.296725Z digest=sha256:3d8d979f35327ecf722460e38c6c76a5cf10421dbe3b9540a9b962009fee27a5

Observation 9604083b-9e7f-4bb8-93c7-264383d4ce09 · outbound

This paper cites online" 'onlinestring :=.

RoToR: Towards More Reliable Responses for Order-Invariant Inputs online" 'onlinestring :=

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-08T16:11:43.301560Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T16:11:43.301560Z digest=sha256:786fcdca10a768c09cb8f8ef8c0e6def0fde18e02e98037fd1a7d01ac2efda03

Observation 97957719-3740-4347-ae55-4336663d121c · outbound

This paper cites write newline.

RoToR: Towards More Reliable Responses for Order-Invariant Inputs write newline

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-08T16:11:43.306809Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T16:11:43.306809Z digest=sha256:b5e4b45b747e8557530133a4b54db239244daf0ac00343316a18210c14039e7d

Pith citing papers

No inbound Pith citation observations are available.