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Paper Citation Record · LEDGER

Balancing Computation Load and Representation Expressivity in Parallel Hybrid Neural Networks

As of 8 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 0 inbound Pith citation observations for arXiv:2505.19472.

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

pith.paper-citation-record.v1
2505.19472 v2

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:17:24.839680Z

measured 15 of 15 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

15 of 15 outbound references displayed

  • verified exact1
  • verified fuzzy0
  • unresolved14
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a7279278-0e48-4015-aaed-be29ce74d873 · outbound

This paper cites Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone.

Balancing Computation Load and Representation Expressivity in Parallel Hybrid Neural Networks Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone

Reference 1

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unresolved
no resolver link, observed 2026-08-07T14:17:23.520664Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:17:23.520664Z digest=sha256:78dc6d2061ae73b36e1878f9afc6f5764868f07e087591efee2e1097f6788792

Observation 3df97dfd-3053-4c74-bb2c-37ca105293cb · outbound

This paper cites Hungry Hungry Hippos: Towards Language Modeling with State Space Models.

Balancing Computation Load and Representation Expressivity in Parallel Hybrid Neural Networks Hungry Hungry Hippos: Towards Language Modeling with State Space Models

Reference 4

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unresolved
no resolver link, observed 2026-08-07T14:17:23.744022Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:17:23.744022Z digest=sha256:bd769ef19e901066e863b434d250f8e6566ff4545f25ed430f85a1cb9b34dded

Observation 2803124a-5e76-452e-b177-255c78c8e63f · outbound

This paper cites Efficiently Modeling Long Sequences with Structured State Spaces.

Balancing Computation Load and Representation Expressivity in Parallel Hybrid Neural Networks Efficiently Modeling Long Sequences with Structured State Spaces

Reference 6

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unresolved
no resolver link, observed 2026-08-07T14:17:23.971734Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:17:23.971734Z digest=sha256:ea5a58ae5b201e8c6845e08fc27a3149afb61b28adb0a3612ec5f9512e3cf45f

Observation 844da00b-9e6d-42e3-b7b0-16ff33187d6c · outbound

This paper cites Landmark Attention: Random-Access Infinite Context Length for Transformers.

Balancing Computation Load and Representation Expressivity in Parallel Hybrid Neural Networks Landmark Attention: Random-Access Infinite Context Length for Transformers

Reference 9

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unresolved
no resolver link, observed 2026-08-07T14:17:24.269674Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:17:24.269674Z digest=sha256:04a0daf2ab6040ef95818720c51cf76ccb8a3ef0e5c9c97b5f9066cbff6b4340

Observation 5d8e934f-4a6f-4c4f-ac4a-a310580b8552 · outbound

This paper cites Can Mamba Learn How to Learn? A Comparative Study on In-Context Learning Tasks.

Balancing Computation Load and Representation Expressivity in Parallel Hybrid Neural Networks Can Mamba Learn How to Learn? A Comparative Study on In-Context Learning Tasks

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-07T14:17:24.359568Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:17:24.359568Z digest=sha256:0fb1052bc32bbef3efea8cb7783e53726c3c1dbc745d4193a66dbe17f2a60eb2

Observation 1466c386-e7ad-4c74-87d5-4fe7c6d92ae1 · outbound

This paper cites RWKV: Reinventing RNNs for the Transformer Era.

Balancing Computation Load and Representation Expressivity in Parallel Hybrid Neural Networks RWKV: Reinventing RNNs for the Transformer Era

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-07T14:17:24.438171Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:17:24.438171Z digest=sha256:a80105e7ee4fa20856fb777e56f0df27798c796e395c804e05c63e70c0ff3a66

Observation 4666ba30-0ddc-4635-8118-c16861fce410 · outbound

This paper cites Samba: Simple Hybrid State Space Models for Efficient Unlimited Context Language Modeling.

Balancing Computation Load and Representation Expressivity in Parallel Hybrid Neural Networks Samba: Simple Hybrid State Space Models for Efficient Unlimited Context Language Modeling

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-07T14:17:24.526655Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:17:24.526655Z digest=sha256:ba23a99c8fbc3c6c67f97659cc19b3d316d70fc5865fabece76ae8c3844d863c

Observation 5df5c35c-815f-4955-8689-579185a4523d · outbound

This paper cites Jamba-1.5: Hybrid Transformer-Mamba Models at Scale.

Balancing Computation Load and Representation Expressivity in Parallel Hybrid Neural Networks Jamba-1.5: Hybrid Transformer-Mamba Models at Scale

Reference 13

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unresolved
no resolver link, observed 2026-08-07T14:17:24.615532Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:17:24.615532Z digest=sha256:7bbb89b5d3e77e949d2f9d69224ce584b795802b210bf89fdaa0cc6f4628489b

Observation 8cad88c7-8ce7-4865-b85a-1e2dd8b1f83c · outbound

This paper cites Gated Linear Attention Transformers with Hardware-Efficient Training.

Balancing Computation Load and Representation Expressivity in Parallel Hybrid Neural Networks Gated Linear Attention Transformers with Hardware-Efficient Training

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-07T14:17:24.707153Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:17:24.707153Z digest=sha256:e1f59a24f20e0b175ad67d5ec5942f7b37bb07e20d8802ff21d1ac4bb44019be

Observation e8f6c4f5-bb6e-4934-8889-7970166d0265 · outbound

This paper cites ZETA: Leveraging Z-order Curves for Efficient Top-k Attention.

Balancing Computation Load and Representation Expressivity in Parallel Hybrid Neural Networks ZETA: Leveraging Z-order Curves for Efficient Top-k Attention

Reference 15

Resolution
verified exact
local_arxiv, observed 2026-08-07T14:17:25.063174Z

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=pdf_text observed=2026-08-07T14:17:24.839680Z digest=sha256:c1e8d30712669d362358f3311d563b213773a0ffdbb6f9edc44f5e26d6e65718

Observation a477360e-5afc-42cf-a9ef-04651aab6cea · outbound

This paper cites Jamba: A Hybrid Transformer-Mamba Language Model.

Balancing Computation Load and Representation Expressivity in Parallel Hybrid Neural Networks Jamba: A Hybrid Transformer-Mamba Language Model

Reference 2020

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unresolved
no resolver link, observed 2026-08-07T14:17:24.172253Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:17:24.172253Z digest=sha256:c43630353f313ad36660104659e1e854ea0abde51de07ee38bd492a3ba49b918

Observation da5afdcc-5471-4a1f-940f-938756a61054 · outbound

This paper cites Demystify Mamba in Vision: A Linear Attention Perspective.

Balancing Computation Load and Representation Expressivity in Parallel Hybrid Neural Networks Demystify Mamba in Vision: A Linear Attention Perspective

Reference 2021

Resolution
unresolved
no resolver link, observed 2026-08-07T14:17:24.067573Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:17:24.067573Z digest=sha256:4eb7a9eb3fe74c0ccf5a2ed3b12d437ca2d801e20255aad816e330be088f9def

Observation e7cd4254-4cc9-4513-9d29-306d0bffa5ef · outbound

This paper cites Mamba: Linear-Time Sequence Modeling with Selective State Spaces.

Balancing Computation Load and Representation Expressivity in Parallel Hybrid Neural Networks Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-07T14:17:23.879566Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:17:23.879566Z digest=sha256:dc1514337c18fb5fe2cd2e0a9782accde10a2a45ec8a4494a7048b6f32d58e08

Observation 811a9032-c5e1-4f61-939f-8e558e124d0e · outbound

This paper cites Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Duality.

Balancing Computation Load and Representation Expressivity in Parallel Hybrid Neural Networks Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Duality

Reference 2023

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unresolved
no resolver link, observed 2026-08-07T14:17:23.586770Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:17:23.586770Z digest=sha256:f742a9b6fbb0b9101cdc6703acafc9fdc333c061c42c29e0d6bfd0048e9d964b

Observation 82ae23a5-1ebd-4d31-bb29-1c836f3c8e44 · outbound

This paper cites Hymba: A Hybrid-head Architecture for Small Language Models.

Balancing Computation Load and Representation Expressivity in Parallel Hybrid Neural Networks Hymba: A Hybrid-head Architecture for Small Language Models

Reference 2024

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unresolved
no resolver link, observed 2026-08-07T14:17:23.650165Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:17:23.650165Z digest=sha256:a58e781c59ae4ab9b7b9814386e28b672a8a0f0d555c16a5911e2c1d29c2da6d

Pith citing papers

No inbound Pith citation observations are available.